Sökresultat för "CUDA"

Coupang

Company Introduction   We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.     Role Overview We are seeking a Sr Staff System Engineer, GPU Fleet for our Coupang Intelligent Cloud (CIC) team,  to serve as the senior technical owner for our hyperscale GPU compute infrastructure. In this role, you will define fleet architecture, drive reliability and automation at scale, and lead the operation and evolution of GPU systems supporting large‑scale AI training and inference workloads. This is a hands‑on, staff‑level individual contributor role with broad technical ownership, high operational impact, and significant cross‑functional influence across hardware, infrastructure, and datacenter operations. CIC builds the infrastructure for abundant intelligence. We partner with leading AI labs, governments, and enterprises to deliver hyperscale GPU compute with high reliability, performance, and efficiency. Our infrastructure supports some of the most demanding AI training and inference workloads in production today. We operate with urgency, deep ownership, and a strong bias toward execution. Reliability, operational excellence, and rigorous systems engineering are core to our business.   What You Will Do As a Sr Staff System Engineer, GPU Fleet, you will be the senior technical owner for CIC’s large‑scale GPU compute infrastructure. This is a hands‑on senior individual contributor role with fleet‑level responsibility and broad cross‑functional influence. You will define the technical direction for how GPU fleets are architected, operated, automated, and evolved across multiple generations of hardware. Your work will directly affect fleet reliability, operating efficiency, scalability, and customer success. This role does not involve people management, but it carries principal‑level scope, autonomy, and decision‑making authority across infrastructure, hardware, and operations.   Key Responsibilities: Fleet Architecture & Technical Ownership * Own the end‑to‑end technical architecture of hyperscale GPU fleets, including hardware platform selection, firmware strategy, OS configuration, drivers, networking, and observability. * Define and enforce technical standards and best practices for fleet reliability, availability, performance, and operability. * Lead major fleet‑wide initiatives such as new GPU platform bring‑ups, multi‑generation hardware transitions, and architectural redesigns. * Evaluate trade‑offs across cost, performance, reliability, and time‑to‑deploy, and make technically sound decisions under ambiguity. Reliability, Availability & Performance * Set and drive fleet‑level reliability, availability, and performance objectives. * Lead root‑cause analysis and resolution of complex, systemic failures affecting large portions of the fleet or multiple datacenters. * Identify recurring failure patterns and drive long‑term fixes spanning hardware, software, automation, and operational processes. * Work directly with hardware vendors and partners to resolve platform‑level issues and influence future hardware designs. Automation & Systems Engineering * Design and build large‑scale automation systems for: * GPU fleet provisioning and lifecycle management * GPU health validation, diagnostics, and certification * Automated remediation, recovery, and replacement workflows * Eliminate manual operational toil through durable, well‑designed tooling that scales with fleet growth. * Ensure all fleet systems are observable, testable, and resilient under failure conditions. Operational Leadership * Act as a senior escalation point for critical production incidents impacting GPU availability or customer workloads. * Participate in on‑call rotations with a strong emphasis on preventing future incidents, not just responding to them. * Lead high‑severity post‑incident reviews and ensure learnings are translated into concrete engineering and process improvements. Technical Influence & Mentorship * Provide technical mentorship and guidance to system and infrastructure engineers across the organization. * Serve as a trusted technical partner to platform engineering, networking, datacenter operations, and leadership teams. * Influence CIC’s long‑term infrastructure roadmap through strong technical judgment and data‑driven recommendations.      Basic Qualifications  * 12+ Years of overall experience with at least 8+ years of experience in Linux systems engineering, infrastructure engineering, or datacenter operations, operating production environments with strict uptime and performance requirements. * Deep, hands‑on expertise in Linux system internals, including process scheduling, memory management, filesystem behavior, networking, kernel behavior, and system performance analysis. * Demonstrated experience operating hardware‑intensive infrastructure in production, including bare‑metal servers at scale. * Proven ability to debug complex issues across multiple system layers, including hardware components, firmware/BIOS, kernel drivers, OS configuration, and user‑space services. * Extensive experience writing production‑grade automation using Python and Bash for provisioning, configuration management, diagnostics, remediation, and fleet operations. * Strong understanding of how to design systems that are observable, resilient, and safe under failure, rather than reliant on manual intervention.   Preferred Qualifications * Direct experience operating large‑scale GPU fleets supporting AI/ML training and/or inference workloads in production. * Familiarity with modern GPU platforms and ecosystems, including GPU drivers, CUDA, NCCL, and high‑performance compute workloads. * Experience with high‑speed interconnects and datacenter networking, such as NVLink, InfiniBand, RDMA, and high‑throughput Ethernet. * Prior ownership of fleet‑wide or platform‑wide initiatives, such as new hardware bring‑ups, major architectural changes, or reliability transformations. * Experience partnering directly with hardware vendors or manufacturers to troubleshoot systemic issues or influence future platform designs. * Strong intuition for failure modes at scale, including cascading failures, correlated faults, and second‑order effects across systems. * History of acting as a technical authority or escalation point for ambiguous, high‑impact production problems. * Ability to mentor engineers through design reviews, technical problem solving, and modelling strong operational ownership. * Experience participating in on‑call rotations and responding to high‑severity production incidents with clear ownership, urgency, and technical leadership. * Strong written and verbal communication skills, including clear post‑incident reviews and technical documentation. Type of work model Hybrid Details to consider  * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.    Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/

Datadog

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.   Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.   We are focused on two research areas:   1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.   What You'll Do:   * Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability * Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure * Design and build simulated environments and RL training loops for on-policy agent training and evaluation * Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products * Stay at the forefront of foundation models, world models, and RL-based agent research * Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks   Who You Are:   * You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) * You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) * You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) * You are familiar with efficient training, post-training, and inference techniques for large foundation models * You can explain complex models and research findings to both technical and non-technical audiences   Bonus Points (any of the following):   * Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents * Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * Experience writing production data pipelines and applications * Hands-on experience with GPU programming and optimization, including CUDA   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Competitive global benefits  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog:  Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.   Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.   Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Surgical Science Sweden AB

Surgical Science is a global organisation and leading provider of medical training simulations and software solutions. Surgical Science is listed on Nasdaq First North Growth Market.   Together with healthcare partners and customers in more than 90 countries, we enhance patient safety and healthcare outcomes through evidence-based, state-of-the-art simulation technology that improves clinical proficiency and performance - enabling safe and effective training without putting patients at risk.   Our solutions are used by medical training centres, universities, hospitals, and the medical device industry for practice, assessment, and certification.   With offices in Gothenburg (HQ), Stockholm, Tel Aviv, Cleveland, Cardiff, and Shenzhen, we are a fast-growing and stable organisation in a rapidly evolving world. We foster a hybrid work culture that supports onsite and remote collaboration across teams and time zones.   Job Summary You will work with our Stockholm-based team to develop state-of-the-art surgical simulations for teaching surgeons. Your responsibilities will include:  Developing and refining advanced surgical simulations with realistic 3D graphics and rigid/soft body dynamics. Using the latest simulation technologies to create immersive surgical training. Collaborating with a global team, both on-site and remote. Together with the team, you will help shape the future of surgical training.   Your profile To succeed in this role, we are seeking not only technical competence but a person who can fit in our diverse team culture.   Must have requirements: Minimum 2 years of professional work experience with C++. Experience working with low-level graphics or compute APIs such as Vulkan, CUDA and/or experience with low-level physics simulation such as constraint-based solvers. Up to date with modern development tools and workflows, including AI-assisted coding. Generalist mindset, comfortable combining multiple skills and technologies to solve problems. You enjoy working in a project-oriented, multicultural environment within a global team. You work well independently while also enjoying being part of a collaborative team. You are not afraid to reach out to others when facing complex challenges and are open to sharing your knowledge generously. A degree in Computer Science, Software Engineering, or an equivalent field. Professional-level English and strong communication skills.   Nice to have: Experience using Git and Jira. Experience with agile methodologies.   Career path: Exposure to international collaborations Grow into a senior developer role or team leader in the future Work in a dynamic environment with unique projects   Benefits: 🌍 Global environment (English as primary language) 💻 Hybrid work ⌚️ Flexible working hours 🏩 Optional Private healthcare 💚 Wellness allowance (Friskvårdsbidrag) 🚲 Optional bicycle lease   Surgical Science as an employer Surgical Science is a global and continuously expanding organisation. You will be part of a dynamic, creative environment where we make sure to allow all employees to influence and contribute with their own unique experiences and knowledge.   Guided by our core values -  curiosity, respect, and perseverance - we strive to empower our people by recognising their strengths, supporting their growth, and creating opportunities to make a real impact.   We invite you to join us on this exciting and meaningful journey - to shape the future of medical training and improve care for patients around the world.   Apply today! If you think you would fit our fantastic team and enjoy our work environment, apply as soon as possible as recruitment is ongoing. Let us meet and work out together whether we are a match!We kindly request that you apply with a CV in English.

Qlose Recruitment & Consulting AB

We're looking for an ML Research Engineer to join Klang AI, a fast-growing product company developing advanced AI solutions within speech and language technology. Klang AI develops advanced AI solutions designed for organisations where security, privacy and trust are essential. In many environments, it's not enough for AI to be powerful—it also needs to be transparent, reliable and built with data protection and compliance at its core. That's why Klang AI's products are trusted by organisations across the public sector, legal industry and research, helping transform meetings, interviews and client conversations into searchable transcripts, intelligent summaries and actionable insights. With more than 100,000 users, you'll have the opportunity to solve challenging technical problems while building AI that people can truly trust. As an ML Research Engineer, you will: Train, fine-tune and improve machine learning and generative AI models Design and evaluate algorithms, experiments and benchmarking frameworks Work with datasets, data quality and model performance Build scalable systems that bring AI research into production Collaborate closely with the R&D team on technical decisions, research and product development Who are we looking for? We're looking for someone who enjoys solving difficult technical problems and is genuinely curious about advancing modern AI. You thrive in environments with a high degree of ownership, enjoy learning new things and like turning ideas into working systems. We believe you: Have strong Python skills and solid software engineering fundamentals Have a strong understanding of machine learning and modern generative AI Enjoy driving open-ended technical challenges from idea to implementation Can clearly communicate technical reasoning and collaborate well with other engineers Use modern AI tools effectively to accelerate your work Experience in one or more of the following areas is highly meritorious: Large-scale model training and fine-tuning Transformer architectures and modern LLMs Dataset design, evaluation and benchmarking Distributed training and AI infrastructure CUDA, Triton or GPU optimisation Speech recognition, text-to-speech or audio AI Research, scientific publications or meaningful open-source contributions As a person, you're curious, pragmatic and collaborative. You enjoy experimenting, challenging assumptions and continuously improving both your own work and the technology around you.Vem söker vi? What does Klang AI offer? Klang AI is a product company transitioning from startup to scaleup, with a strong R&D culture and a clear focus on innovation. You'll work alongside highly experienced engineers and researchers in an environment where ideas matter more than hierarchy and where curiosity, experimentation and technical excellence are highly valued. Working at Klang AI means tackling advanced challenges within machine learning, generative AI and speech technology. You'll have significant ownership, short decision-making paths and the opportunity to influence both the technology and the future direction of the company while building products used by more than 100,000 users. This is a direct recruitment, where you'll be employed by Klang AI while Qlose manages the recruitment process. Have we caught your interest? If you've made it this far, that's usually a good sign. 🌟 Click Apply and attach your CV or LinkedIn profile—we'll take it from there. We review applications continuously, so don't wait too long. Questions? Feel free to reach out to Linnea at linnea.neldemo@qlose.io.

Friday Väst AB

Vill du vara med och revolutionera en hel bransch med hjälp av AI, realtidsdata och modern molnteknik? Nu söker vi en fullstackutvecklare som vill vara med på en spännande tillväxtresa där innovation, tempo och nytänkande står i centrum. Om tjänsten: Vår kund utvecklar avancerad IoT-baserad parkeringsteknik som används av parkeringsbolag, fastighetsägare och retailaktörer över hela Sverige. Genom kameror, edge-teknik och AI analyseras fordonsrörelser i realtid, vilket skapar värdefulla insikter för allt från handel och fastighetsförvaltning till elbilsladdning och logistik. Nu står bolaget inför nästa stora steg – att bygga om hela plattformen från grunden med AI som en central del av utvecklingsarbetet.I rollen som Fullstackutvecklare blir du en del av ett litet, erfaret och högpresterande utvecklingsteam som bygger en edge-first och datadriven plattform för parkering, mobilitet och analys. Du kommer in i ett skede där fokus ligger på nyutveckling snarare än förvaltning, vilket innebär stora möjligheter att påverka tekniska val, arkitektur och arbetssätt. AI är en naturlig del av utvecklingsprocessen och används aktivt för att accelerera utveckling, skapa smartare arbetsflöden och möjliggöra snabb innovation. Här söker vi dig som ser AI som ett självklart verktyg i ditt dagliga arbete. Arbetsuppgifter Utveckla och vidareutveckla TypeScript-baserade API:er och backendtjänster. Utforma domänmodeller, databaser och versionerade API- och eventkontrakt. Bygga robusta integrationsflöden mellan edge, moln och externa system. Utveckla och förvalta cloudinfrastruktur med infrastructure-as-code. Etablera arbetssätt för testning, CI/CD, observability och säkerhet. Hantera autentisering, behörigheter och multi-tenant-relaterade frågeställningar. Bidra till React-applikationer och stötta utvecklingen av produktnära gränssnitt. Vi söker dig som:Har minst 5 års erfarenhet från en utvecklarroll. Har stark erfarenhet av TypeScript och Node.js i produktionssystem. Har erfarenhet av att designa och bygga API:er och backendtjänster. Har god förståelse för PostgreSQL, datamodellering och databasintegritet. Har erfarenhet av infrastructure-as-code, som Terraform, Pulumi, CloudFormation eller motsvarande. Har erfarenhet av Docker, CI/CD och moderna deploymentflöden. Har förståelse för distribuerade och asynkrona system, inklusive retries, idempotens, felhantering och observability Har erfarenhet av AI-drivet utvecklingsarbete och moderna AI-verktyg så som Claude, Codex eller motsvarande. Talar och skriver flytande svenska och engelska, då båda språken används i det dagliga arbetet. Det är meriterande om du har med dig något av nedan: En eftergymnasial utbildning inom systemutveckling, datateknik eller motsvarande område. Google Cloud Platform. Cloud Run, Cloud SQL, Pub/Sub, BigQuery, Firestore/Firebase eller IAM i GCP. Fastify. OpenAPI, JSON Schema eller annan schemadriven utveckling. Eventdriven arkitektur och meddelandebaserade system. IoT, edge computing eller system med periodvis instabil uppkoppling. Python, FastAPI eller Django. Linuxbaserade fältenheter. NVIDIA Jetson/Orin, JetPack eller ARM64. RTSP, ONVIF, GStreamer, OpenCV, CUDA, TensorRT eller computer vision. Realtidssystem, telemetry, device management eller fleet management. Dataplattformar och analytiska datalager. Migrering från legacyplattformar med adapters och parallell drift. SaaS-plattformar, interna verktyg eller datadrivna produkter. Stor vikt kommer läggas vid personlig lämplighet. För att trivas i rollen ser vi att du är en nyfiken och framåtlutad person som drivs av att utforska ny teknik och hitta smartare sätt att lösa problem. Du är en tidig användare av nya verktyg och ser möjligheter där andra ser begränsningar. Vi tror att du har ett genuint teknikintresse och att utveckling är mer än bara ett arbete för dig. Du uppskattar att ta ägarskap, påverka beslut och vara med och bygga något från grunden. Vidare trivs du i en snabbfotad miljö där prioriteringar kan förändras och där flexibilitet, initiativförmåga och handlingskraft värderas högt. Du motiveras av att skapa lösningar som snabbt genererar värde och har en pragmatisk inställning till utveckling. Samtidigt har du förmågan att se helheten och förstå hur teknik, affär och användarvärde hänger ihop. Som person är du prestigelös, samarbetsorienterad och gillar att arbeta nära andra engagerade utvecklare för att tillsammans skapa nästa generations produkter. Om anställningen:  Det här är en direktrekrytering, vilket innebär att Friday hanterar och ansvarar för rekryteringsprocessen men att du blir anställd direkt hos kundbolaget. Övrig info:Omfattning: Heltid. Start: Efter sommaren, enligt överenskommelse. Placering: Göteborg. Rekryteringsansvarig: Hanna Lejon. Lön: Marknadsmässig grundlön samt ett du tar del av ett optionsprogram. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängs ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Om Friday: På Friday brinner vi för att ge dig som techtalang en riktigt bra karriär. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

Lightspeed

ABOUT LIGHTSPEED LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systems—BRUTE for automated wall panel manufacturing and DEX for on-site collaborative construction—are addressing the global housing crisis by delivering unprecedented speed, precision, and affordability in homebuilding. POSITION OVERVIEW: As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed’s construction robots smarter, faster, and more autonomous. You will develop machine learning models for computer vision, predictive analytics, autonomous decision-making, and process optimization—all deployed in real-time production environments where precision and reliability are critical. This role sits at the intersection of cutting-edge AI research and practical industrial application. WHAT YOU'LL WORK ON: Machine Learning Development * Design, train, and deploy ML models for robotic control, quality prediction, and process optimization * Develop reinforcement learning and imitation learning systems for robot task planning * Build predictive maintenance models using sensor data to anticipate equipment failures * Implement anomaly detection for real-time quality monitoring during automated assembly * Optimize model inference for edge deployment on GPU-accelerated hardware in production Computer Vision & Perception * Develop deep learning pipelines for object detection, segmentation, and pose estimation * Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification * Implement 3D point cloud processing for construction material recognition * Design and train models for visual quality inspection using depth cameras and industrial imaging Data Infrastructure & MLOps * Build ML data pipelines from sensor acquisition through model training and deployment * Establish data labeling, versioning, and management workflows for training datasets * Implement model monitoring, A/B testing, and continuous improvement in production * Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases) Integration & Deployment * Integrate ML models with ROS2-based robot control for real-time inference * Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms * Collaborate with robotics engineers on sensor selection, placement, and calibration * Support scaling ML systems across multiple production cells and sites REQUIRED QUALIFICATIONS: AI/ML Expertise * 4+ years hands-on ML engineering building and deploying production models * Deep proficiency with PyTorch or TensorFlow for model development and training * Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision * Understanding of reinforcement learning, imitation learning, or robot learning approaches * Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization) Software Engineering * Strong Python with experience in C++ for performance-critical components * Experience with ML infrastructure: data pipelines, experiment tracking, model serving * Proficiency with Linux, Docker, Git, and CI/CD workflows * Understanding of real-time system constraints for ML inference in production PREFERRED QUALIFICATIONS: * MS or PhD in Machine Learning, Computer Science, Robotics, or related field * Experience with robotics simulation: MuJoCo, IsaacSIM, or similar * Background in manufacturing, industrial automation, or construction technology * Experience with ROS/ROS2 integration for ML-powered robotics * Published research or patents in computer vision, robot learning, or related ML * Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms WHY JOIN LIGHTSPEED: * Build AI systems that directly control physical robots addressing the housing crisis * Work on rare real-world ML challenges: real-time inference, embodied AI, industrial perception * Access to rich proprietary datasets from production robot cells * Hands-on culture with direct access to robots, sensors, and manufacturing environments * Competitive compensation including salary, equity, and comprehensive benefits EMPLOYMENT RELATIONSHIP This position is at-will, meaning either you or the Company may terminate employment at any time, with or without cause or notice. EQUAL OPPORTUNITY LightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.

Labatus AB

Utvecklare inom simulering, spelteknik eller modulering Vill du arbeta med avancerad modellering, simulering och realtidssystem i teknikens absoluta framkant? Är du en erfaren utvecklare som trivs i komplexa miljöer där matematik, fysik och systemförståelse möter robust mjukvara? Vi på Labatus söker nu en senior utvecklare inom simulering och modellering som vill ta en central roll i våra mest tekniskt utmanande uppdrag. Att jobba med simulerings- och modelleringsuppdrag genom Labatus Som simuleringsutvecklare hos oss arbetar du i uppdrag där modellering och simulering är en avgörande del av systemutvecklingen. Det kan handla om: Modellering av dynamiska system Utveckling av simuleringsramverk och verktyg Realtidssimulering och systemnära utveckling Utveckling av metodik för verifiering och validering Integration mellan mjukvara, hårdvara och styrsystem Prototyper, demonstratorer och tekniska studier Våra uppdrag finns inom flera teknikintensiva branscher – exempelvis försvar, fordon, autonoma system, industri och avancerade tränings- eller visualiseringsmiljöer. I vissa uppdrag är bakgrund inom spelutveckling, spelmotorer eller 3D-miljöer mycket värdefull – särskilt där realtidsprestanda, fysikmotorer eller interaktiva miljöer är centrala. Då vissa av våra samarbetspartners där uppdrag förekommer verkar i brancher där säkerhetsprövning krävs - kan rekryteringsprocessen i vissa fall innefatta säkerhetsprövning. Teknik och miljöer Beroende på uppdrag kan du arbeta i miljöer som omfattar: C / C++ Python Matlab / Simulink Realtidssystem Fortran eller Ada (i vissa domäner) Unity, Unreal eller andra visualiseringsmotorer GPU-programmering (CUDA/OpenCL) Distribuerade simuleringsstandarder (t.ex. HLA/DDS) Det viktigaste är inte exakt vilka verktyg du använt – utan att du har en stark grund i systemförståelse, matematiska modeller och robust mjukvarudesign. Vem vi tror att du är Vi söker dig som är har minst 1-2 års erfarenhet inom simulering, teknisk beräkning eller systemnära utveckling. Du: Har en civilingenjörs- eller högskoleingenjörsexamen inom exempelvis teknisk fysik, datateknik, flygteknik, mekatronik eller liknande Har erfarenhet av C/C++ eller liknande språk Har arbetat med modellering, simulering eller realtidssystem Gillar att förstå system på djupet – inte bara skriva kod Är strukturerad, analytisk och kvalitetsmedveten Trivs i team och bidrar gärna med tekniskt ledarskap Det är meriterande om du har erfarenhet från spelutveckling, fysikmotorer eller avancerad 3D-visualisering – men det är inget krav. Varför Labatus Labatus är specialister inom kvalitet, test och simulering. Vi är en tekniskt stark och familjär organisation med korta beslutsvägar och stort fokus på våra medarbetares utveckling. Hos oss får du: Påverka val av uppdrag och teknisk inriktning Arbeta i långsiktiga och tekniskt avancerade projekt Möjlighet att bidra med metodutveckling och specialistkompetens Kompetensutveckling anpassad efter din ambition Kollektivavtal och trygga villkor En kultur som bygger på kundfokus, laganda, nyfikenhet och kvalitet Vi kombinerar tekniskt djup med en arbetsmiljö där människor faktiskt trivs och stannar. Välkommen med din ansökan! Vi kommer att gå igenom ansökningar löpande. Om du har frågor som rör företaget, tjänsten eller processen så är du välkommen att kontakta oss genom: Hanna Falk hanna.falk@labatus.se 0702535296

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented System Developers and Researchers to join the Snowflake AI Research team and contribute to LLM inference and training system development, optimizations, and agentic systems. Our mission is to build the most efficient and scalable generative AI systems. Recent releases from our team include SwiftKV, an advanced inference optimization, and Arctic LLM, one of the largest open-source MoE foundation models. This is an exciting opportunity to collaborate with a world-class team, including founding members of DeepSpeed, vLLM, and TensorFlow. Together, we will push the boundaries of deep learning systems and drive cutting-edge innovations in AI. Responsibilities: * Analyze and optimize GPU kernel performance for training and inference of LLMs. * Develop and implement strategies to enhance the efficiency and scalability of deep learning systems. * Profile and benchmark deep learning systems using tools and techniques to identify bottlenecks. * Design and implement optimizations to reduce latency and improve resource utilization for training and inference. * Stay updated with the latest advancements in GPU kernel optimization, deep learning, and LLM system development. * Contribute to the development of agentic frameworks and applications for LLM-driven workflows, enhancing automation, reasoning, and decision-making capabilities. * Open-source and publish innovations, optimizations, and engineering practices in technical blogs, top-tier conferences and journals. Requirements: * Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s degree or PhD is preferred. * 5 years of experience in GPU kernel optimization, deep learning system optimization, or high-performance computing (HPC). * Proficiency in deep learning frameworks such as PyTorch, TensorFlow, JAX. * Strong understanding of GPU architectures and experience with CUDA or similar frameworks. * Experience with frameworks like CUTLASS, Triton, cuDNN, etc. * Experience with profiling tools (e.g., nvprof, Nsight) and performance analysis methodologies. * Solid problem-solving skills and ability to debug complex performance issues. * Excellent communication skills and ability to work effectively in a cross-functional team environment. Join us in optimizing deep learning systems and pushing the boundaries of AI efficiency. Apply now to be part of our dynamic and pioneering team! Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Coupang

About Coupang We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.   Role Overview We are seeking a Sr. Staff Observability Engineer to lead the design and evolution of our observability platform for a GPU-as-a-Service (GPUaaS) infrastructure. This role will own the end-to-end telemetry strategy—from high-throughput metric ingestion to log pipelines and real-time visualization—powering deep insights into GPU clusters, datacenter systems, and distributed workloads. You will architect and operate planet-scale telemetry pipelines leveraging Grafana Alloy, Mimir, Loki, and Vector, ensuring high-fidelity observability across GPU workloads, Kubernetes clusters, and datacenter infrastructure.   ---------------------------------------------------------------------------------------------------------------------------------- Key Responsibilities   <Architectural Leadership & Strategy> * End-to-End Observability Platform Ownership: Design and scale telemetry pipelines using: * Grafana Alloy for metrics collection (Prometheus-compatible pipelines) * Datadog Vector for high-throughput log ingestion and transformation * Grafana Mimir for scalable time-series storage * Grafana Loki for log aggregation and querying * Strategic Roadmap: Define the multi-year vision for GPU infrastructure observability, transitioning from reactive monitoring to SLO-driven, predictive, and automated observability. * High-Cardinality Telemetry Design: Optimize pipelines for GPU workloads characterized by: * High-cardinality labels (GPU IDs, tenants, workloads) * Burst-heavy workloads (ML training, inference spikes) * Multi-tenant isolation requirements <Telemetry Pipeline Engineering> * Architect low-latency, high-throughput pipelines capable of ingesting: * GPU metrics (utilization, memory, thermals, MIG partitions) * Kubernetes and container telemetry * Distributed system logs and traces * Build and optimize metric pipelines (Alloy → Mimir) ensuring: * Efficient remote_write tuning * Cost-effective retention strategies * Horizontal scalability and compaction tuning * Design log pipelines (Vector → Loki) with: * Structured logging and enrichment * Intelligent filtering/sampling * Stream partitioning for high-ingest environments <GPU & Infrastructure Observability> * Establish deep observability into: * GPU hardware (NVIDIA DCGM, MIG, NVLink, PCIe) * Kubernetes GPU operators and scheduling behavior * Network fabric (RDMA, InfiniBand, TCP performance) * Define GPU-specific SLIs/SLOs such as: * GPU utilization efficiency * Job scheduling latency * Cluster fragmentation * Thermal and power anomalies <Visualization & User Experience> * Build rich Grafana dashboards for: * Real-time GPU fleet health * Tenant-level usage and billing insights * Capacity planning and forecasting * Standardize dashboard frameworks and reusable panels across teams * Enable self-service observability for platform and ML engineering teams <SRE, Automation & Reliability> * Drive adoption of SRE principles: * SLIs, SLOs, error budgets tailored to GPU workloads * Integrate observability into CI/CD and IaC pipelines (Terraform/Kubernetes): * Automated canary analysis * Observability-driven rollbacks * Build automation (Go/Python) for: * Pipeline health monitoring * Dynamic routing and scaling of telemetry workloads <Incident Forensics & Debugging> * Develop tooling and practices for cross-layer correlation: * GPU → Node → Kubernetes → Application → Network * Lead deep RCA efforts for: * GPU contention issues * Performance degradation in ML workloads * Telemetry pipeline backpressure/failures * Enable “needle-in-a-haystack” debugging using unified logs + metrics <Technical Leadership & Collaboration> * Mentor engineers and lead design reviews for observability systems * Act as a force multiplier across SRE, Infra, and ML platform teams * Promote Observability-by-Design in all new GPU cluster deployments <Open Source & Ecosystem Strategy> * Drive adoption and contribution to: * Grafana stack (Alloy, Mimir, Loki, Tempo) * OpenTelemetry ecosystem * Define build vs. buy decisions (Datadog vs OSS vs hybrid approaches) * Optimize interoperability between Vector and OTEL pipelines <Security & Compliance> * Architect secure telemetry pipelines with: * Encryption in transit and at rest * Multi-tenant isolation and RBAC * Data residency compliance * Implement Zero Trust observability patterns   ---------------------------------------------------------------------------------------------------------------------------------- Qualifications & Requirements * BS/MS in Computer Science or equivalent practical experience * Extensive experience in Observability, SRE, or Distributed Infrastructure * Proven track record building large-scale telemetry pipelines (metrics/logs) * Observability Stack: * Grafana Alloy / Prometheus ecosystem * Grafana Mimir (or Cortex/Thanos) * Grafana Loki * Datadog Vector (or similar log pipelines) *  Programming: * Strong in Go or Python *  Data Systems: * TSDBs and log storage at scale *  Infrastructure: * Kubernetes, Linux internals * GPU systems (NVIDIA DCGM, CUDA ecosystem) * High-performance networking (RDMA, InfiniBand preferred) * Cloud & Hybrid: * Experience building observability across: * Bare-metal GPU clusters * Hybrid cloud environments   ---------------------------------------------------------------------------------------------------------------------------------- Core Impact Success in this role is measured by: * A highly reliable, scalable observability platform powering GPU infrastructure * Ability to diagnose complex GPU and distributed system issues in minutes * Enabling data-driven optimization of GPU utilization and cost efficiency * Building systems that proactively detect and mitigate failures before user impact   ---------------------------------------------------------------------------------------------------------------------------------- Recruitment Process and Others Recruitment Process * Application Review - 1st Virtual Interview - 2nd Virtual Interview - Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. * Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. this will be communicated to the candidate at the appropriate time before the offer. * Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. * This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. * https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. SENIOR SOFTWARE ENGINEER — CORTEX TRAINING The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: * Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. * Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional GPU pools, with fault tolerance built in. * Drive end-to-end performance at scale — keep the training, inference, and RL loops fast and the data plane responsive under heavy concurrent load, with GPUs kept saturated. * Productionize research building blocks — partner with Snowflake Research to turn state-of-the-art training and inference techniques into reliable, composable components customers can run at enterprise scale. QUALIFICATIONS: * 5+ years building and shipping production ML systems * Strong distributed systems and infrastructure foundation — designing scalable, fault-tolerant services and operating them on Kubernetes in production. * Familiarity with GPU and LLM infrastructure — e.g., PyTorch, DeepSpeed/FSDP, Ray, CUDA/NCCL, vLLM; able to debug across the data, infrastructure, and GPU layers. * Demonstrated ability to harden complex systems for reliability, throughput, and cost efficiency. * BS in Computer Science or a related field (MS/PhD a plus). * (Bonus) Hands-on LLM post-training / modeling experience — the strongest candidates pair deep infra skills with real post-training intuition. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Surgical Science Sweden AB

Surgical Science is a global organisation and leading provider of medical training simulations and software solutions. Surgical Science is listed on Nasdaq First North Growth Market.   Together with healthcare partners and customers in more than 90 countries, we enhance patient safety and healthcare outcomes through evidence-based, state-of-the-art simulation technology that improves clinical proficiency and performance - enabling safe and effective training without putting patients at risk.   Our solutions are used by medical training centres, universities, hospitals, and the medical device industry for practice, assessment, and certification.   With offices in Gothenburg (HQ), Stockholm, Tel Aviv, Cleveland, Cardiff, and Shenzhen, we are a fast-growing and stable organisation in a rapidly evolving world. We foster a hybrid work culture that supports onsite and remote collaboration across teams and time zones.   The role As a Software Developer in our team, you’ll dive into a large C++ codebase and work with our proprietary 3D engine and physics engine to build lifelike simulators for healthcare professionals. Collaborating with team members across different locations, you’ll refine and develop advanced medical simulations with realistic 3D graphics, soft-body dynamics, VR integration, and custom hardware integration, including robotics.   Your profile We think you are a self-driven, results-oriented professional with a curious mindset. You take a holistic approach to coding and persevere in solving problems. You enjoy working independently, are comfortable working with complex code bases, and like building solutions together with brilliant colleagues. You are generous in sharing your knowledge with others and reaching out when needed.   To succeed in this role, we think you have: 2+ years of experience in C++ and a solid foundation in linear algebra and 3D mathematics. Worked with Git/GitHub & agile methodologies. Experience developing real-time or performance-critical applications. Experience with Windows development environments and Visual Studio. A degree in computer science, software engineering, or equivalent. A professional level of English.   It is beneficial if you also have any of the following: Prior knowledge of graphics rendering APIs such as Vulkan or DirectX. Experience with game and physics engines or related frameworks (e.g. Unreal, Unity, PhysX, Cuda, or similar). Experience in Dev tools such as JIRA, Jenkins, CMake, TeamCity, etc. Experience in VR Development, haptics & shader programming. Experience in additional programming languages, preferably C# & Python. A passion for programming and crafting robust, maintainable, and high-performance code. Experience with AI-assisted coding tools and workflow.   Why choose us? Be part of a team developing the next-gen medical simulators with life-like graphics, world-leading haptics feedback and cutting-edge physics simulations Collaborate with a multidisciplinary team of highly experienced developers, UX designers, medical experts, and product specialists to push the boundaries of realism and interactivity in simulation-based learning. Work in an environment where your creativity, passion and ideas truly matter, and help shape products that train healthcare professionals and ultimately contribute to better patient outcomes. Take ownership of meaningful technical challenges, from architecture and performance optimization to user experience and device integration, with a high degree of influence over technical decisions, product direction, and engineering practices.   Benefits: 🌍 Global environment (English as primary language) 💻 Hybrid work ⌚️ Flexible working hours 🏩 Optional Private healthcare 💚 Wellness allowance (Friskvårdsbidrag) 🚲 Optional bicycle lease   Surgical Science as an employer Surgical Science is a global and continuously expanding organisation. You will be part of a dynamic, creative environment where we make sure to allow all employees to influence and contribute with their own unique experiences and knowledge.   Guided by our core values -  curiosity, respect, and perseverance - we strive to empower our people by recognising their strengths, supporting their growth, and creating opportunities to make a real impact.   We invite you to join us on this exciting and meaningful journey - to shape the future of medical training and improve care for patients around the world.   Apply today! If you think you would fit our fantastic team and enjoy our work environment, apply as soon as possible as recruitment is ongoing. Let us meet and work out together whether we are a match! We kindly request that you apply with a CV in English.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As a Model Optimization engineer on ML Platform, you will be responsible for digging deep into model internals to optimize performance, for both training and inference. We are looking for accomplished engineers to help us maximize performance of our platform. You Will: * Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows. * Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements. * Contribute to the development of best practices and tooling for model optimization and deployment. * Collaborate with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments. * Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use. You Have:  * 6+ years of professional experience and a tool chest of system design experience upon which to draw to build performant systems for all of Roblox. * Have significant experience debugging GPUs - reading GPU profiles, debugging Xid errors, etc. * Proficient in advanced tools and frameworks (e.g., CUDA, Triton, TensorRT) to enhance model execution speed and reduce latency. * Experience with model optimization techniques for LLMs, such as speculative decoding, continuous batching, quantization, etc. * A performance nut; you love pushing the limits of what’s possible, whether it’s squeezing every last ounce of efficiency from a GPU, fine-tuning algorithms for peak speed, or innovating new techniques to enhance model performance * A generalization advocate: you're passionate about building tools and frameworks that consistently deliver improvements in model performance. * Passionate about supporting internal partners (data scientists and ML Engineers) to meet and understand their needs. * A Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $295,250—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads that depend on them. You will own the hard problems that show up only at scale, from driver and firmware management to GPU health, reliability, and performance across a rapidly growing fleet of accelerators spanning Roblox data centers and cloud environments. You will set the technical direction for GPU compute and up-level the entire organization's GPU expertise. YOU WILL: * Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end. * Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults). * Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Kubernetes for GPU and AI workloads. * Drive GPU reliability and performance at fleet scale, defining the detection, diagnosis, and automated repair of unhealthy accelerators before they impact production. * Evaluate and onboard new GPU and AI accelerator platforms, networking topologies (NVLink, InfiniBand, RoCE), and multi-node training and inference patterns. * Establish the standards, tooling, and APIs that let other engineering teams consume GPU compute safely and efficiently, reducing toil and raising the bar for the org. YOU HAVE: * 10+ years of experience building and operating large-scale distributed systems and infrastructure. * Deep, hands-on GPU expertise at the machine management layer and above: GPU host provisioning, driver and firmware lifecycle, GPU health and reliability, and the realities of running accelerators in production. * A track record as an expert for compute, not just fleet management, with the scars to prove you have scaled GPU or accelerator infrastructure that other teams depend on. * Strong proficiency in Go or other well-structured programming languages. * Experience operating GPU and AI workloads in production, including familiarity with CUDA, GPU scheduling, and high-performance networking (NVLink, InfiniBand, RoCE). * Familiarity with Kubernetes for GPU workloads and with bare-metal concepts (firmware, BMC/IPMI/Redfish, OS imaging) is a strong plus. * A history of being the anchor expert that an organization relies on for its hardest GPU and compute problems, and the leadership to up-level the engineers around you.   For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $345,040—$399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Databricks

P-1284 ABOUT THIS ROLE As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management. WHAT YOU WILL DO * Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference * Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine * Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators * Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations * Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads * Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning * Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead * Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams * Document and share learnings, contributing to internal best practices and open-source efforts when possible WHAT WE LOOK FOR * BS/MS/PhD in Computer Science, or a related field * Strong software engineering background (3+ years or equivalent) in performance-critical systems * Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc. * Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.) * Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning * Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler) * Experience building instrumentation, tracing, and profiling tools for ML models * Ability to work closely with ML researchers, translate novel model ideas into production systems * Ownership mindset and eagerness to dive deep into complex system challenges * Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $142,200—$204,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1285 ABOUT THIS ROLE As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering. You will work closely with ML researchers, systems engineers, and product teams to push the state-of-the-art in inference performance at scale. WHAT YOU WILL DO * Lead the design, implementation, benchmarking, and maintenance of core compute kernels (e.g. attention, MLP, softmax, layernorm, memory management) optimized for various hardware backends (GPU, accelerators) * Drive the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc. * Integrate kernel optimizations with higher-level ML systems * Build and maintain profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps * Lead performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation * Establish coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability * Influence system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries) * Mentor and guide other engineers working on lower-level performance, provide code reviews, help set best practices * Collaborate with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitor their impact WHAT WE LOOK FOR * BS/MS/PhD in Computer Science, or a related field * Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads * Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc. * Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning * Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels * Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation) * Experience reasoning about numerical stability, mixed precision, quantization, and error propagation * Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems * Experience building high-performance products leveraging GPU acceleration * Excellent communication and leadership skills — able to drive design discussions, mentor colleagues, and make trade-offs visible * A track record of shipping performance-critical, high-quality production software * Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,900—$232,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

KUNGLIGA TEKNISKA HÖGSKOLAN

Arbetsuppgifter Är du en starkt motiverad forskare med ett brinnande intresse för HPC (högpresterande beräkningar) och en drivkraft att lösa komplexa vetenskapliga utmaningar? Trivs du i en FoU-miljö där dina idéer och den programvara du utvecklar har en direkt inverkan på forskning i framkant? Vi söker postdoktorer som HPC-programvaruforskare till enheten för vetenskaplig programvara vid KTH Center for Scientific Computing (KCSC). Tjänsten finansieras av SSF inom initiativet SEESSI, vars mål är att anpassa Sveriges ledande programvaror inom molekyldynamik, strömningsmekanik och kvantkemi för nästa generations hårdvara. Du kommer att ingå i ett projektteam av HPC-programvaruforskare vid KCSC som samarbetar nära med och skapar konkret genomslag för tre av Sveriges främsta HPC-koder: GROMACS (ett av världens mest använda programvarupaket för molekyldynamik), Neko (ett mycket skalbart ramverk för strömningsmekaniska beräkningar som nominerades till ACM Gordon Bell-priset 2023) och VeloxChem (en mångsidig programvara med öppen källkod för kvantkemiska beräkningar). Som postdoktor är ditt fokus att utveckla innovativa, teknikmedvetna algoritmiska metoder riktade mot dessa strategiska programvaror. Vårt mål är att gå bortom traditionell prestandaoptimering; genom ett tvärvetenskapligt angreppssätt vidareutvecklar eller omdesignar vi centrala algoritmer för moderna HPC-arkitekturer, med energieffektivitet som ett centralt designkriterium. Viktiga forskningsmål inkluderar: Algoritmer med blandad precision: Utforma och implementera formuleringar för centrala domänspecifika beräkningskärnor för att utnyttja hårdvara med låg numerisk precision utan att kompromissa med simuleringarnas noggrannhet. Datacentrerad optimering: Utforma och implementera kommunikationsscheman och strategier för dataåtkomst anpassade för system bortom exaskalan, exempelvis via GPU-centrerade kommunikationstekniker. Samarbete och genomslag: Vi uppmuntrar dig att publicera din forskning och delta i ledande internationella konferenser. Detta ger dig möjlighet att bidra direkt till de centrala kodbaserna och nå en global användargrupp. Kvalifikationer Krav Avlagd doktorsexamen eller utländsk examen som bedöms motsvara en doktorsexamen. Detta behörighetskrav ska vara uppfyllt senast vid tidpunkten då anställningsbeslutet fattas. Mycket god praktisk erfarenhet av programvaruutveckling i modern C++ och/eller Fortran. Erfarenhet av parallellprogrammering för flerkärniga processorer (CPU:er), GPU:er och distribuerade system med hjälp av programmeringsmodeller som OpenMP, CUDA, SYCL, MPI och OpenSHMEM. Praktisk erfarenhet av att optimera programvara för storskaliga HPC-system, inklusive avancerad spårning och prestandaprofilering på moderna HPC-plattformar. Utmärkta kommunikationsfärdigheter på engelska samt dokumenterad förmåga att kommunicera forskningsresultat då det krävs i det dagliga arbetet. Förmåga att självständigt arbeta med tekniska lösningar och forskningsfrågor samtidigt som du bidrar konstruktivt som en del av ett team. Vi söker en kandidat med gedigen erfarenhet av programvaruutveckling för vetenskapliga applikationer och högprestandaberäkningar, samt djup expertis inom prestandaoptimering. Meriterande Vid sista ansökningsdag högst tre år sedan doktorsexamen eller en utländsk examen som bedöms motsvara doktorsexamen avlades. Erfarenhet av prestandamodellering, prestandaanalys och optimering för heterogena arkitekturer. Erfarenhet av programvaruutveckling inom något av följande områden: molekyldynamik, strömningsmekaniska beräkningar eller kvantkemi. Erfarenhet av arbete med storskaliga vetenskapliga programvaruprojekt och forskningssamarbeten. Medvetenhet om frågor som rör mångfald och lika möjligheter, med särskilt fokus på jämställdhet. Vi kommer att lägga stor vikt vid personliga egenskaper. Bli en del av KTH   KTH formar framtiden genom utbildning, forskning och innovation. Som ett ledande internationellt tekniskt universitet spelar vi en aktiv roll i att driva och medverka i omställningen till ett hållbart samhälle. Här erbjuds du möjligheten att växa och utvecklas på en kreativ och dynamisk arbetsplats med goda arbetsvillkor och förmåner. Jämställdhet, mångfald och lika villkor är en kvalitetsfråga och en självklar del av KTH:s värdegrund som universitet och statlig myndighet. Läs mer om våra förmåner och hur det är att arbeta och utvecklas på KTH. Fackliga representanter Kontaktuppgifter till fackliga representanter. Ansökan Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in. Ansökan ska innehålla:  CV inklusive relevant yrkeserfarenhet och kunskap. Kopia av examensbevis och betyg från dina tidigare universitetsstudier. Översättningar till engelska eller svenska om de ursprungliga dokumenten inte utfärdas på något av dessa språk. Kortfattad redogörelse för varför du vill bedriva forskning, dina akademiska intressen och hur de relaterar till dina tidigare studier och framtida mål. max 2 sidor lång.  Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (Central European Time/Central European Summer Time). Om anställningen Anställningen gäller tillsvidare, dock längst två år En anställning som postdoktor är en tidsbegränsad meriteringsanställning med huvudinriktning mot forskning avsedd som ett första karriärsteg efter disputation. Övrigt För information om behandling av personuppgifter i samband med rekrytering. Det kan förekomma att en anställning hos KTH är placerad i säkerhetsklass. Om så är fallet för just denna anställning görs en säkerhetsprövning av sökande i enlighet med säkerhetsskyddslagen (2018:585) efter samtycke. I dessa fall är en förutsättning för anställning att sökande blir godkänd efter säkerhetsprövning. Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser.