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We are looking for a person within functional verification and functional testing and a genuine interest for automotive. To be successful in this role we see that you have several years of experience within functional verification and functional testing on complete vehicle, you have previous experience in software platform, hands on experience with Vector and dSpace tools and creation of automation scripts in Python, CAPL and Shell. It is meritorious if you have knowledge of ISO-14229 UDS and vehicle electrical architecture. You have a strong analytical capability, structural way of working and communicate fluently in English (speech and writing). Self-driven, flexible in a high-paced environment, customer oriented as well as being a team player are qualities that define you. You will work in an agile environment with cross functional teams and different cultures. What we offer? Project with a leading customer in the automotive industry. in the area of Gothenburg. Flexible workplace. Full time, permantent position. Company benefits. Frequent social team activities. Fixed salary. Competence/skills B.Sc. or M.Sc. Degree in Computer/Electrical Engineering or similar. You should also have industrial experiences from below areas: Automotive experience. Experience with Functional testing and verification. Experience with Vector tools. Programming Python skills. Programming CAPL skills. Experience with Embedded Linux. Shell script. Proficiency in C#. Good understanding of C and C++. ISO-14229. Jira. Confluence. Agile. Driver license B (meritorious). Personal skills Customer orientated. Ambitious and driven. Result oriented. Team player. Social skills. Organized and structured. If you feel that this description suits you, don´t hesitate to send your application. We are looking forward to hear from you!. We are a company providing technical expertise consultancy services and we offer you a position as a consultant engineer. We are a growing company where we put focus on our employees and customers.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will work with functional verification of complete electrical systems before software releases for vehicles in the European market. In this role, you are part of an integration test team where you help secure software quality at vehicle level and collaborate closely with teams across functions, including colleagues in China. This is a hands-on role for you if you enjoy understanding how software, hardware, and vehicle systems interact in practice. You get to work close to the product, influence test methods, and contribute to software quality in a complex automotive environment. Job DescriptionYou execute functional verification in the Complete Electrical Integration area. You run both directed and exploratory test cases and analyze the results. You debug software failures in the SWIM system and help drive issues toward resolution. You create verification test methods and improve the way testing is performed. You update and maintain test environments, including test cars. You work closely with software developers, hardware engineers, and test leaders to understand and resolve issues found at vehicle level. You collaborate with teams across regions to support software releases with high quality. RequirementsB.Sc. in Electrical Engineering, Computer Engineering, or a similar field. 3 years’ experience of automotive & integration of embedded systems. Relevant experience of integration and functional domain testing in vehicles. Experience driving automotive tests in vehicles. Experience with Vector tools such as CANoe or CANalyzer. Experience working with Jira. Ability to drive, motivate, and convince others in your day-to-day work. Good English, spoken and written. Swedish driver’s license. Willingness to travel as part of the role. Nice to haveInterest in cars and practical driving experience. Strong test analysis skills. Cultural awareness, especially in China-European collaboration. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
For our client we are looking for a SW Verification Engineer. Description of the assignment * As an Integration functional test engineer, you are responsible for the functional verification of the complete electrical systems within SW Verification team in front of SW release for our cars. * Working closely together with the China team. * Execute verification and develop test methods in the Integration area. You will be a part of the Integration test team Qualifications and skills required for the role * B.Sc. in Electrical or Computer Engineering or similar. * 4 years’ experience of automotive & integration of embedded systems * Relevant experience of the Integration and functional test in vehicle. * Experienced driver of automotive tests in vehicles. * Ability to drive, motivate and convince. * Cultural awareness, especially China – European culture * Good in English (spoken and written) * Swedish driver’s license Personal attributes * Interest in cars and experience in driving * Strong test analysis skills * Cultural awareness, especially China – European culture * Good in English (spoken and written) * Advantageously to know Mandarin (Chinese) IT/SW requirements Vector tools like CANoe or CANalyzer
Our client in the automotive industry is currently seeking a skilled Test Automation and Software Test Engineer to join their dynamic team. This role plays a critical part in ensuring the quality and reliability of advanced driver assistance systems (ADAS) and autonomous driving functions. Key Responsibilities: * Develop and maintain integration test suites for Continuous Integration (CI) pipelines. * Create and manage automation frameworks for verifying ADAS, autonomous driving functions, and sensors such as Radar, Lidar, and Camera. * Define test plans and develop test cases for various environments, including HIL (Hardware-in-the-Loop), boxcar, and full vehicle testing. * Conduct tests on self-developed software and system-level functionalities, ensuring comprehensive coverage. * Manage multiple projects and releases, tracking what to test, when, and in which test environment. * Collaborate with cross-functional teams to identify and fix bugs in the CI pipeline, and provide fault analysis and root cause determination. * Develop dashboards to track Key Performance Indicators (KPIs) and ensure traceability. * Document tests in CarWeaver and maintain up-to-date records. Qualifications: * Excellent Python programming skills with a strong object-oriented approach. * Solid knowledge of Pytest and experience with Robot Framework. * Proficiency in HIL and SIL environments with experience in simulation tools like dSPACE. * Familiarity with communication protocols such as CAN, LIN, and Ethernet. * Experience with Vector tools such as CANoe, CANalyzer, and other relevant tools like Zuul, XCP, and DLT logging. * Strong experience with data visualization tools like Grafana, PowerBI, or similar. Preferred Skills: * Background in the automotive industry with a proactive, self-driven approach to project management. * Experience configuring and maintaining Jenkins/Zuul. * Familiarity with Linux/QNX operating systems and proficiency in shell scripting. * Proficiency in C++ and C programming languages. * Experience with Simulink. Desired Attributes: * Ability to solve problems both independently and through effective team collaboration. * Strong communication skills to articulate complex issues clearly and effectively.
Ready to shape the future of HIL testing as a Rig Development Engineer? ALTEN in Sweden is expanding our HIL (Hardware-in-the-Loop) rig team and looking for a skilled Rig Development Engineer to join our group of 8 engineers in a dynamic, hands-on environment. Based on-site, you’ll play a key role in building, maintaining, and developing test rigs for 6 subsystem rigs, ensuring cutting-edge test solutions for our clients in the automotive and embedded systems industries. What do we offer? A challenging and varied role in a growing team of specialists The chance to work with state-of-the-art HIL/SIL test environments Continuous learning in a company that values innovation and technical excellence A collaborative culture where your ideas drive real impact Long-term career opportunities within ALTEN’s global network About the role As a Rig Development Engineer, you’ll be responsible for the design, development, and maintenance of our HIL test rigs. Your work will span the entire lifecycle—from concept and construction to commissioning and troubleshooting—ensuring robust and efficient test solutions. You’ll collaborate closely with ECU specialists, test engineers, and system architects, using tools like Vector CANoe, CAPL scripting, and C#/Python to automate tests, simulate bus communication, and develop custom tooling. Your expertise in electronics, communication protocols (CAN, LIN, Ethernet), and MAZE technology will be key to optimizing rig performance. Your main responsibilities Design, build, and maintain HIL/SIL test rigs from concept to operation Develop automated test scripts using CAPL, C#, and Python Configure and simulate bus communication (CAN, LIN, Ethernet) with Vector CANoe Interpret ECU specifications and translate requirements into rig design Troubleshoot hardware and software issues, ensuring rig reliability Collaborate with cross-functional teams to optimize test processes Document rig setups, test procedures, and maintenance protocols Your profile We’re looking for a proactive and structured engineer with a passion for test automation and embedded systems. You thrive in hands-on environments and enjoy solving complex technical challenges. Degree in Electrical Engineering, Mechatronics, Computer Science, or equivalent Proven background in HIL/SIL test environments Hands-on experience with test rig construction and commissioning and strong troubleshooting and fault-tracing skills Technical skills: Vector CANoe (bus communication, simulation, diagnostics) CAPL scripting for test automation C# and/or Python for tooling and scripting Electronics fundamentals (schematics, wiring, sensors, connectors) Communication protocols (CAN, LIN, Ethernet) Please note, this is a proactive job advertisement intended to connect with talented professionals and does not currently refer to a specific assignment. We review applications continuously. However, due to the summer holiday period, the processing time may be longer than usual. Applications will be reviewed towards the end of August. About ALTEN ALTEN is one of Europe’s largest technology and IT consulting companies with over 57,000 employees in nearly 30 countries. Our engineers carry out complex and highly technical projects throughout the value chain of the most prestigious companies in all sectors, such as Automotive, Defense, Energy & Environment, Industry, Public services & Government and Life Sciences. In Sweden, we are about 1300 committed employees with 9 offices in 9 cities - from Lund in the south to Skellefteå in the north. For the sixth year in a row, ALTEN has been named one of Sweden's most attractive employers by Karriärföretagen, an award for employers that offer unique career and development opportunities. Welcome to read more about us at alten.se Please be aware that applications submitted via email or direct messaging will not be considered. For any HR-related questions or request regarding a job application, please select the ‘Recruitment’ category in “Contact us”.
Build the Test Rigs Driving the Future of Mobility Are you a hands-on engineer who loves building HIL test benches from scratch rather than just running tests on them? At MittLogik, we’re looking for experienced HIL Development Engineers – Test Rig Architecture & Real-Time Simulation to design, build, and optimize the hardware-in-the-loop environments that make modern automotive technology possible. If you thrive on real-time modeling, dSPACE/Vector hardware, and solving complex system-level bugs, we’d love to have you on our team! What You’ll Do Instead of just executing test scripts, you will own the full HIL ecosystem: Design & Build Rigs: Commission and maintain HIL test benches using platforms like dSPACE, Vector, ETAS, NI, or Speedgoat. Real-Time Simulation: Build and fine-tune plant and vehicle models using MATLAB/Simulink. Configure ECUs, sensors, and communication networks (CAN, CAN FD, LIN, FlexRay, Automotive Ethernet). Root-cause complex issues across models, networks, and physical hardware using CANoe, ControlDesk, or INCA. Flash software, resolve bench bugs, and collaborate directly with validation and development teams. What We’re Looking For Proven HIL Development Experience: You’ve built and integrated HIL test rigs—not just operated them. Solid experience in MATLAB/Simulink for real-time model deployment. Strong background in automotive communication protocols and diagnostics tools (CANoe, CANalyzer, etc.). A passion for end-to-end system troubleshooting. Nice to Have (But Not Required): Knowledge of ADAS features (ACC, AEB, LKA) and sensor simulation (Radar, Camera, LiDAR). Understanding of vehicle dynamics or CI/CD test automation pipelines. MittLogik is an equal opportunity employer. We welcome applications from qualified candidates across the EU/EWR via EURES.
Job Description WHAT YOU’LL DO As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. WHO YOU’LL WORK WITH You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. WHO YOU ARE We are looking for people with… A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are… Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for a Senior AI Engineer to join an innovative project focused on building intelligent systems that transform complex engineering documentation into structured knowledge and simulation-ready models. The role involves working with LLMs, Knowledge Graphs, and Computer Vision, combining unstructured data (e.g., P&IDs, technical specifications) with real-time inputs to automate model generation and system understanding. This is you * Strong experience with Python * Hands-on experience with LLMs and AI frameworks (LangChain, HuggingFace, etc.) * Experience with Knowledge Graphs (KG) and Graph Databases (Neo4j) * Experience with Vector Databases (Qdrant, Pinecone, Vertex AI) * Solid understanding of Machine Learning / Deep Learning, including document understanding * Experience with Computer Vision / object detection pipelines * Experience building APIs with FastAPI * Familiarity with workflow orchestration tools (Temporal, Celery) * Experience with Docker, GitHub, and CI/CD pipelines * Experience with GCP (Cloud Run) * Knowledge of PostgreSQL and Redis This is your role * Convert system descriptions (e.g., P&IDs, manufacturer specifications) into structured Knowledge Graphs (KG) * Enhance KG generation by integrating real-time system data and additional data sources * Build KG-to-Model mapping logic to automatically generate initial 1D simulation models (e.g., Amesim) * Design and develop pipelines using LLMs, VLMs, and ML/DL models for document understanding * Implement and maintain data processing and AI workflows * Develop backend services and APIs using Python (FastAPI) * Create demo/admin interfaces using Streamlit or React * Ensure system scalability, observability, and performance * Collaborate with cross-functional teams including engineers and domain experts What awaits you at Avenga? * At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.
Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI. Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we’re scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it. Together, we build the future of SAM. About the role We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam. In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most. You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands-on role with the opportunity to shape how AI is adopted across the entire company. Responsibilities Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users Design and develop reusable AI components, prompts, and workflows that different departments can leverage Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch-up Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non-deterministic workflows and analytics Build and manage self-hosted AI infrastructure including open-source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value Qualifications 3+ years of software development experience Strong experience with Python and API integrations Experience building solutions with LLMs and modern AI frameworks Experience working with RAG, vector databases, or agent frameworks Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar Experience working with open-source AI models and inference platforms Comfortable working with Linux, Docker, and self-hosted environments Strong problem-solving skills and a passion for building practical solutions Excellent communication skills and the ability to collaborate with both technical and non-technical teams Fluent in English, both written and spoken Bonus points if you have Experience with workflow automation platforms (e.g. n8n, Make, Temporal) Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI) Experience with MLOps or deploying machine learning systems into production Experience fine-tuning or hosting open-source language models Contributions to open-source projects or a portfolio of AI side projects What you get A generous work culture with free drinks and snacks, office massages, and more. Three days in-office (with remote work on Mondays and Fridays). An opportunity to shape your career growth while contributing to the company’s success. A dynamic position embracing "freedom under responsibility". If sales targets are met, all employees enjoy an annual destination trip. Other location-specific benefits. Our values at Xensam Rebellious We challenge the norm and act with initiative – always with responsibility. Humane We foster a caring, inclusive environment that values diversity and respects individuality. Harmony We value balance and create a supportive workplace where people thrive. As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.
FEQ327R156 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: * Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. * Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 7+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Experience with data engineering, or a good understanding of the concept of data engineering * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed 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.
About the Role We are looking for an experienced HIL Development Engineer with strong hands-on expertise in Hardware-in-the-Loop (HIL) architecture, development, modelling, integration, and system-level debugging. This role is focused on developing and maintaining advanced HIL environments used for vehicle system validation. We are looking for engineers who have experience building and improving HIL test systems – not only executing tests. The ideal candidate has a strong background in real-time simulation, ECU integration, automotive communication, and troubleshooting complex embedded systems. You will work closely with development, verification, and integration teams to secure robust test environments and support the validation of future vehicle technologies. Key Responsibilities HIL Development & Integration (Mandatory) Design, develop, commission, and maintain HIL test rigs and environments. Integrate ECUs, I/O systems, communication interfaces, sensors, and actuators into HIL platforms. Configure and set up HIL systems using platforms such as: dSPACE Vector ETAS National Instruments (NI) Speedgoat Develop real-time test environments for vehicle subsystems and complete vehicle validation. Define and optimize HIL architecture, signal flow, and interface management. Support continuous improvement of HIL setups and validation processes. HIL Modelling & Real-Time Simulation Develop MATLAB/Simulink models for: Vehicle systems Plant models Environment simulation Control systems Optimize models for real-time execution and HIL deployment. Perform model validation, calibration, and debugging in real-time environments. Work with simulation tools such as: ASM CarMaker VTD PreScan Similar simulation platforms Experience within vehicle dynamics modelling is highly beneficial, including understanding of: Longitudinal dynamics Lateral dynamics Powertrain behavior Automotive Communication & Diagnostics Develop, configure, and troubleshoot automotive communication networks. Work hands-on with: CAN CAN FD LIN FlexRay Automotive Ethernet Configure and debug communication databases and network setups. Use tools such as: CANoe CANalyzer ControlDesk INCA Similar diagnostic tools Perform root-cause analysis of ECU, communication, and system-level issues. HIL Operations, Maintenance & Troubleshooting Operate and monitor HIL benches on a daily basis. Manage software flashing, configuration management, and release deployment. Troubleshoot: Hardware issues Software issues Simulation model problems Communication-related failures Monitor test environment stability and resolve technical issues. Collaborate with development, validation, and integration teams to ensure system readiness. ADAS & Sensor Knowledge (Meritorious) Experience or knowledge within ADAS systems is considered an advantage. Examples of relevant areas: Adaptive Cruise Control (ACC) Autonomous Emergency Braking (AEB) Lane Keeping Assist (LKA) Traffic Sign Recognition (TSR) Blind Spot Detection (BSD) Pilot Assist functions Knowledge of sensor technologies is beneficial: Radar Camera systems LiDAR Ultrasonic sensors GNSS IMU Experience with ADAS scenario generation and sensor simulation is highly valued. System-Level Debugging & Technical Leadership Perform end-to-end debugging across: ECUs Communication networks Simulation models HIL environments Support definition and improvement of HIL architectures and validation strategies. Drive technical discussions with engineering teams and stakeholders. Mentor colleagues and contribute with technical guidance. Take ownership of complex technical challenges and drive solutions forward. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, Mechatronics, Computer Science, or equivalent. Several years of hands-on experience in automotive HIL development and integration. Strong experience building and developing HIL environments. Proven experience with MATLAB/Simulink modelling and real-time simulation. Experience integrating ECUs and communication networks in HIL environments. Strong understanding of automotive embedded systems and vehicle validation. Experience with automotive communication protocols and diagnostics. Experience with HIL platforms such as dSPACE, Vector, ETAS, NI, or Speedgoat. Strong debugging and problem-solving skills. Ability to work independently and drive technical activities. Preferred Skills Experience within ADAS systems and sensor technologies. Experience with test automation and CI/CD environments. Knowledge of vehicle dynamics modelling. Experience from large automotive development projects. Personal Profile We are looking for someone who is: A hands-on engineer with strong technical ownership. Experienced in solving complex system-level problems. Analytical, structured, and quality-focused. Comfortable working cross-functionally with different engineering teams. Able to take initiative and drive technical improvements. Passionate about embedded systems, simulation, and future vehicle technologies. Location: Gothenburg, Sweden Start date: As agreed Swedish Driving license B is a plus
Accenture is hiring an Automotive Software Platform Verification Senior Engineer to strengthen our automotive team in Gothenburg. In this cross-functional role you will be on-site technical representative at customer location to provide direct support and contribute to developing and maintaining developer platform infrastructure and software-in-the-loop (SiL) environments. The role focuses on faster, more reliable, and more automated verification of embedded software. This role requires frequent presence at client premises in Gothenburg, thus we look for candidates having existing working permit/rights in Sweden or right to work in EU. Industry X is Accenture’s capability focused on engineering and manufacturing transformation — it’s about how products are designed, built, connected, and operated across their entire lifecycle. What You’ll Do * For the Developer Platform, design and maintain a unified, hermetic developer container (Docker/OCI) for toolchains, build systems, SDKs and test runners (Linux, QNX, FreeRTOS, Android) * Build and manage CI/CD pipelines; maintain container registry with versioned images and changelogs * Establish a clear E2E developer journey: bring-up scripts, debugging workflows, log/trace collection * Enable and optimize workloads on cloud infrastructure (AWS, Terraform) * Enable developers and testers to work with embedded automotive software stacks in pure-software environments (software-in-the-loop, SiL) * Implement multi-VM / container communication on protocol layers (Ethernet, SomeIP, CAN) * Develop helper tools and integrate simulation models into the SiL environment * As on-site customer interface, serve as on-site technical liaison; support integration, verification and vehicle testing at customer facilities * Facilitate rapid issue identification, debugging and resolution; communicate feedback to development teams * Provide hands-on support for software flashing, configuration and milestone reviews Primary skills for the role: * experience in customer-facing roles and automotive projects * Python and Bash proficiency * Cloud / IaC: Terraform, AWS (or equivalent), developer environments at scale * CI/CD: GitHub Actions, pipeline-as-code, artifact management * Containers: Docker/OCI multi-stage builds, registry management, hermetic environments * Automotive protocols: Automotive Ethernet, SomeIP, CAN, LIN, UDS — including in software-only setups * Simulation tooling, especially Vector SIL-Kit * Strong SOC/MCU software integration knowledge * Good communication skills; fluent English Nice if you have also some of these skills: * OSP Cuttlefish / Android virtual device experience * Build systems: Bazel (preferred) CMake/Ninja, Yocto/BitBake, AOSP, QNX SDP, ARM cross-compilation * Yocto SDK and sysroot * SBOM generation and supply-chain tooling in CI * MISRA/AUTOSAR static analysis tools (Polyspace, Axivion, Coverity) * Distributed build systems (Bazel, IncrediBuild) * Virtual targets: QEMU/KVM, GDB/KGDB remote debugging * C++ experience What we can offer you * Competitive compensation and benefits * Flexible work hours with a good work-life balance * Significant development opportunities and support for progressing in your professional career. * Rich opportunities to develop your business acumen, consulting toolbox, industry knowledge, technical and professional skills. * Meaningful and exciting client projects * A phenomenal opportunity through working with a great variation of projects and industries. * A dedicated mentor following your career journey and a strong learning culture. * Responsibility, trust, and an inclusive work environment * The opportunity to get involved in Accenture´s volunteering, Women in Tech, sport- and social groups. * Access to industry and capability specialists in all corners of the world with outstanding international knowledge and experience * A good and inclusive working environment, where you will work with inspiring and skilled colleagues and managers. CONTACT AND HOW TO APPLY For this recruitment, we have partnered with XLNT Search. Should you have queries regarding these roles or the recruitment process, please contact Ulf Magnusson, +46 70 569 09 28 or mail ulf.magnusson@xlnt.se You can also contact Björn Bergström +46 70 727 06 81 or mail bjorn. bergstrom@xlnt.se We apply continuous selection during this recruitment process, so do send us your application promptly We are looking forward to your application! About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure. In this role, you will Architect multi-step planning, orchestration, and tool routing for agents Implement code generation agents and sandboxed code execution Engineer memory, state, and context packing/grounding strategies Balance latency, quality, and cost controls for agent execution Develop safe fallbacks, graceful degradation and robust error handling Collaborate with platform and search teams to deliver reusable agent infrastructure Establish safety guarantees and measurable quality improvements About You Basic Qualifications: 3+ years of software engineering experience building production backend or platform systems. 3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services. 3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture. 3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability. Other Qualifications: Experience building and deploying LLM-powered applications in production. Experience building agent platforms or AI infrastructure. Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc. Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems. Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.). Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith. Familiarity with vector databases, prompt and context engineering, and experimentation tooling. Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times. Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms. Comfort working with Postgres and Redis in high-throughput, low-latency service contexts. Contributions to open source TypeScript projects. Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production. Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your role As a HIL Engineer, you will work at the forefront of software testing within verification and validation for leading automotive partners. In this role you will play a key role in: • Design, implement, optimize, and maintain HIL test environments, including both existing systems and the development of new HIL rigs • Lead technical decisions, define HIL architecture, drive best practices, and contribute to test strategy development • Collaborate with cross-functional teams to integrate software components and support customer interactions, technical discussions, and requirement clarification • Conduct verification and validation testing, including regression testing, while ensuring performance of software and hardware systems • Analyze and troubleshoot complex issues, improve system reliability, and drive automation of test cases and HIL workflows Your profile • Master’s degree in Engineering (Electronics, Mechatronics, Mechanics, Software) or equivalent experience, with at least 7 years in HIL or SIL test environment development • Strong hands-on experience with HIL tools such as dSPACE, National Instruments, or Vector (CANoe, CANape, VTESTstudio), along with programming in Python, C++, C#, or CAPL • Solid knowledge of automotive communication protocols (CAN, LIN, FlexRay, Ethernet, UDS) as well as diagnostic trouble codes (DTCs) and requirements handling • Proven ability to work independently and take ownership of design, maintenance, upgrades, commissioning, and troubleshooting of HIL systems, including CI/CD pipelines and version control • Experience working in vehicle environments, a valid European driving license, and good understanding of automotive safety standards (e.g. ISO 26262) is considered a plus What we believe you will enjoy about working here • Innovative projects shaping the future of mobility • Access to cutting-edge tools and technologies • A collaborative environment with continuous learning opportunities Application Selection and interviews are running continuously. Apply now since we assign roles during the whole application time span. Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site. We kindly but firmly refrain from direct contact with staffing, brokerage, and recruitment companies as well as other external actors and sellers of additional job advertisements. As part of our recruitment process, identity verification and background checks will occasionally be conducted. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your Role As a Junior HIL Engineer / V&V Tester, you will work at the forefront of software testing within verification and validation for leading automotive partners. In this role you will play a key role in: • Collaborate with cross-functional teams to integrate software components • Conduct tests to validate and verify software and hardware performance • Analyze and troubleshoot issues to enhance system reliability • Work hands-on with both maintaining and troubleshooting existing HILs, as well as supporting the build of new ones • Apply an analytical mindset to solve complex challenges, where not all tasks have clear-cut solutions and root cause analysis is required Your profile • YH diploma or Bachelor’s degree in Engineering (Electronics, Mechatronics, Mechanics, Software) or equivalent experience, with 2–5 years of experience in HIL or SIL test environments • Hands-on experience with HIL tools such as dSPACE, National Instruments, or Vector (CANoe, CANape, VTESTstudio), along with knowledge of at least one programming language (Python, C++, C#, or CAPL) • Basic understanding of vehicle communication protocols (CAN, LIN, FlexRay, Ethernet, UDS), as well as some experience with diagnostic trouble codes (DTCs) and requirements handling • Ability to work independently within HIL/SIL environments, conduct testing, and troubleshoot software-related issues (test execution, monitoring failures, basic triage), including experience with CI/CD and version control systems • Experience working in vehicle environments, a valid European driving license, and a basic understanding of automotive safety standards (e.g. ISO 26262) are considered a plus What we believe you will enjoy about working here • Innovative projects shaping the future of mobility • Access to cutting-edge tools and technologies • A collaborative environment with continuous learning opportunities • A diverse community of professionals from different backgrounds and experience Application Selection and interviews are running continuously. Apply now since we assign roles during the whole application time span. Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site. We kindly but firmly refrain from direct contact with staffing, brokerage, and recruitment companies as well as other external actors and sellers of additional job advertisements. As part of our recruitment process, identity verification and background checks will occasionally be conducted. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
EDAG, one of the leading global engineering experts with heritage from the automotive industry, serves its customers with complete development responsibility, ranging from concept work to even building prototypes. Whether it is software development, development of future mobility solutions, sustainability, design engineering, quality assurance, manufacturing engineering or various other engineering requests, EDAG has successfully helped its clients take the next technology leap, for more than 56 years. We at EDAG simply claim to be our customer’s global mobility and industry engineering experts! EDAG Engineering Scandinavia AB is the Scandinavian subsidiary of the EDAG Group. With an origin from Gothenburg, we have naturally become an important partner to the western region of Sweden. More and more customers are discovering our ability to deliver local engineering capabilities within a wide range of areas – not seldom in combination with other global EDAG sites, colleagues and competences to accommodate larger projects and undertakings. We are expanding our customer engagement and am looking for CI/CD and test engineers who will take responsibility for CI/CD operations, application integration, software testing, test automation and test framework development. Responsibilities: Developing, maintaining and optimizing the CI/CD pipelines for uninterrupted software builds and integrations. Proactively monitoring CI pipelines and resolving the issues and errors. Developing and maintaining automated test cases aligned with gate scope Executing sanity checks, baseline qualification, and extended tests as part of CI/CD workflows Analyze test results and contribute to fault reporting and resolution. Performing fault tracing and advanced troubleshooting within owned domain. Collaborate with test engineers to improve test automation coverage and efficiency. Analyze complex test requirements and translate them into robust automated solutions using Python, CAPL, and C#. Integrate new test methods and technologies, ensuring compliance with our quality and safety standards. Maintain and support test environments (boxcars, VIL rigs), including remote and on-site activities as needed. Mentor junior developers and contribute to the technical direction of the automation team. Qualifications: M.Sc. or B.Sc. in Electrical, Electronics, Computer Engineering, Software Engineering, or equivalent. 3-10 years of automotive experience in CI/CD engineering, software integration, testing and automation. Experience in Boxcar and VIL (Vehicle-in-the-loop) rig testing. Proficiency in programming languages: Python, CAPL, C/C#, and scripting for test automation. Experience in CI tools Cynosure, Jenkins, Zuul, GitLab, Ansible, Bazel. Experience in tools Git/Gerrit, Victoria, Grafana, YAML, Bash, Groovy, Artifactory, Docker, AWS, Vector CANoe, vTESTstudio. Fluent in English (written and spoken). B driving license. Meritorious: ISTQB Certification. Volvo Cars experience We welcome you in to our open and diverse culture. We promise you a lot of opportunities to grow and learn as you become a part of a dynamic and creative team who are at the top of their field. With leading-edge technology, we help our customer’s vision become a reality. We are an engineer’s playground of innovation and creativity that is fast, furious and fun!
YOUR MISSION AI you can ship As an AI Engineer at Advania, you will build systems designed to work in production from day one. You will be part of a team developing a trusted AI platform for organisations with high demands on security, compliance, and reliability. This is a hands-on role for an experienced engineer who wants to work with AI as part of real products, not experiments. You will join an early and growing initiative where your work has a direct impact on both the solutions we deliver and how we build them. We focus on pragmatic decision-making, strong engineering foundations, and outcomes that hold up over time. You will be based in our Stockholm team, working closely with engineers, tech leads, and stakeholders in a collaborative on-site/hybrid setup from our Liljeholmen office. While Advania’s corporate language is Swedish, our day-to-day work is conducted in English. Fluent English is required, and Swedish is strongly meriting, including a willingness to develop it over time. WHAT WE'RE LOOKING FOR MUST HAVE * Strong software engineering foundation with professional Python experience * Experience building or integrating LLM-based systems in production * Experience working with APIs, backend systems, and structured software development practices * Understanding of testing, evaluation, and reliability in AI systems * Ability to work independently and communicate clearly in collaborative environments * Fluent English NICE-TO-HAVE * Experience with RAG pipelines and vector search * Experience with cloud infrastructure (Azure, AWS, or GCP) * Experience with observability, CI/CD, and production monitoring * Experience working in regulated or security-sensitive environments * Swedish language skills TECH STACK & ENVIRONMENT You will primarily work with: * Python * LLM integrations and AI platforms * RAG pipelines and retrieval systems * APIs and backend services * Evaluation, testing, and observability tooling * Production-oriented engineering and security workflows * Infrastructure designed for trusted enterprise AI deployments Our platform is built for organisations with high demands on security, compliance, and operational control. We manage the complexity of running AI systems in trusted environments, with infrastructure and data handling designed to meet enterprise and regulated industry requirements. Experience with the exact tools we use today is less important than strong engineering fundamentals and the ability to build reliable systems that work in production over time. (Detailed role description in Swedish below) DITT ANSVAR OCH BIDRAG Som AI Engineer hos oss bygger och vidareutvecklar du AI drivna funktioner som används i verkliga produkter och arbetsflöden. Du arbetar nära flera initiativ inom vår AI satsning och ansvarar för lösningar som är stabila, säkra och skalbara i produktion. Rollen vänder sig till dig som har gedigen erfarenhet av mjukvaruutveckling och som vill arbeta med AI engineering i en miljö med höga kvalitetskrav. I rollen förväntas du ta ett tydligt ansvar för både genomförande och kvalitet. Det innebär att du arbetar hands on och säkerställer att det som byggs fungerar över tid, inte bara i demoform. Du ansvarar bland annat för att: • Integrera och använda modeller via vår AI plattform • Bygga, förbättra och förvalta promptflöden och RAG pipelines kopplade till relevanta dokumentkällor. • Utveckla evalueringar, tester och scripts för att verifiera kvalitet, prestanda och tillförlitlighet. • Säkerställa att lösningarna är testbara, robusta och redo för verklig användning i produktion. Arbetet sker främst i Python och inom ramen för etablerade tekniska mönster, arbetssätt och säkerhetskrav. Du driver ditt arbete självständigt inom givna ramar och samarbetar nära med Senior AI Engineers, Tech Leads och andra specialister. Du äger inte den övergripande arkitekturen, men förväntas bidra med tekniskt omdöme, förbättringsförslag och perspektiv i det dagliga arbetet. Som AI Engineer förväntas du: • Strukturera arbetet även när krav inte är fullt definierade. • Fånga upp oklarheter, utmana antaganden och tydliggöra konsekvenser i tid. • Dokumentera lösningar och lärdomar så att teamets gemensamma leveransförmåga stärks. • Ta ansvar för säker hantering av data, credentials och infrastrukturella gränser utan kompromisser. Du är med och bygger AI i en kontext där tillit, kontroll och produktionsmognad är avgörande. VI SÖKER DIG SOM HAR Trygghet i tekniken | Styrka i genomförandet | Lätt för samarbete Vi söker dig som är en erfaren mjukvaruutvecklare med ett tydligt intresse för AI i praktisk tillämpning. Du har byggt lösningar som används på riktigt och trivs i en roll där kvalitet, ansvar och långsiktighet är centralt. För att lyckas i rollen ser vi att du: • Har ett starkt ingenjörsmässigt fundament och arbetar obehindrat i Python. • Har praktisk erfarenhet av att integrera och använda LLM-baserade lösningar i produktion. • Förstår vad som krävs för att AI-lösningar ska vara tillförlitliga, testbara och säkra över tid. • Tar eget ansvar för implementation, kvalitet och samarbete i team. • Värdesätter struktur, dokumentation och professionellt tekniskt omdöme. Du behöver inte ha arbetat med exakt samma verktyg eller tekniker som vi gör idag, men du har erfarenhet som gör att du snabbt kan sätta dig in i vårt sätt att bygga AI i produktion. SJÄLVLEDARSKAP OCH KONSULTMÄSSIGHET Det är viktiga delar av rollen. Du tar ansvar för att skapa framdrift inom givna ramar, även när förutsättningarna inte är helt definierade. Du fångar upp oklarheter tidigt, utmanar antaganden med gott omdöme och kommunicerar tydligt kring konsekvenser och vägval. Du växlar mellan tekniskt djup och förståelse för verksamhetens behov och bidrar med struktur, ansvar och professionalism i samarbetet med kollegor och andra intressenter. VARFÖR ADVANIA NU Advanias AI-verksamhet bygger en suverän Trusted AI Platform och en växande produktportfölj för företag i reglerade miljöer. Det här är rätt tidpunkt för dig som vill ha verkligt mandat och faktiskt ansvar då du kommer att vara med och definiera de standarder och riktlinjer som gör plattformen säker, compliant och redo för produktion. VI SER FRAM EMOT DIN ANSÖKAN! 👋 Visa gärna ditt intresse så snart som möjligt då vi intervjuar löpande. Vi välkomnar sökanden med olika bakgrunder, erfarenheter och synsätt, eftersom vi vet att en bredare mångfald berikar var och en av oss och stärker såväl effektivitet som kreativitet i vårt arbete. Som en del av vår rekryteringsprocess genomgår våra slutkandidater en obligatorisk bakgrundskontroll, en för oss kvalitativ kontroll inför ett anställningsbeslut. Advania samarbetar med Ljung & Sjöberg i ärenden kopplat till alkohol-, drog- och spelproblematik och är en certifierad "Proaktiv Arbetsplats". Tveka inte att höra av dig om du har några frågor eller funderingar. ☀️
Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/
ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLES You will work on the core backend systems that power Sana’s Learn platform and search infrastructure. You will redesign and scale systems to handle enterprise workloads, remove deep bottlenecks, and evolve our architecture for the era of AI and agents. We are hiring for two senior roles: 1. Senior Backend Engineer, Learn (Core Systems) 2. Senior Backend Engineer, Search 1. SENIOR BACKEND ENGINEER, LEARN (CORE SYSTEMS) ABOUT THE ROLE You will focus on making the Learn platform, especially Manage, Insights, and APIs, scalable and maintainable for enterprise use. You will take systems that work at current scale and redesign them to handle much larger volumes of data, users, and entities. The work is primarily architectural and system level, with strong emphasis on Postgres and database design. IN THIS ROLE, YOU WILL * Redesign existing components to support enterprise scale workloads * Analyze and resolve bottlenecks in storage, query performance, APIs, and data models * Lead migrations away from legacy implementations to sustainable replacements * Improve reliability and efficiency of APIs and integrations for internal and external clients * Drive technical projects from definition to delivery with Product Managers and other teams * Maintain a long term view of system health and architecture * Share technical knowledge, review designs, and set best practices for backend and systems design WHAT SUCCESS LOOKS LIKE * Architecture and scalability are prioritized over short term fixes * Risks are identified early and addressed with solid technical solutions * You balance hands on coding with architectural leadership * Learn core systems support larger enterprise customers without performance or reliability issues * Strong Postgres skills (schema design, query optimization, indexing) improve performance and scalability 2. SENIOR BACKEND ENGINEER, SEARCH ABOUT THE ROLE You will build and scale Sana’s search infrastructure for enterprise scale knowledge discovery. You will architect retrieval systems, ranking algorithms, and search APIs that handle large increases in volume while maintaining sub second latency and high relevance. You will rethink the search stack for the era of agents, using engines like Vespa, vector databases, and embedding models. IN THIS ROLE, YOU WILL * Architect and scale search infrastructure to billions of documents in multi tenant environments * Design hybrid search that combines keyword search with semantic understanding and vector search * Build ranking and personalization systems that learn from user behavior * Collaborate with AI engineers to integrate large language models into the search pipeline and build retrieval augmented systems * Optimize search performance across query parsing, index design, and distributed architecture * Lead development of search observability and quality frameworks with clear metrics and monitoring * Work closely with product and design to shape the future of knowledge discovery at Sana WHAT SUCCESS LOOKS LIKE * Search systems scale elegantly to billions of documents and millions of queries with strict latency targets * Systems apply proven IR techniques and practical advances in semantic AI retrieval * Search quality issues are detected early through strong observability and automated regression checks * You balance implementation with system design and mentor others on search and IR fundamentals * Deep expertise in search infrastructure (index optimization, query planning, distributed retrieval, caching) prevents performance issues before users see them * The stack evolves from traditional search to AI powered discovery, including embeddings, reranking, and RAG, while staying reliable * Search infrastructure supports enterprise deployments with strict SLAs, multi tenancy isolation, and very high uptime OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. * Backend: TypeScript, Kotlin, Node.js * Frontend: TypeScript, React, Tailwind * Databases: Postgres, Redis * Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm, London and New York.
Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We partner with major global platforms such as Booking.com, Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes a separate fintech entity with its flagship product, PRECISION, a risk management solution, Sweden’s leading flight comparison site Flygresor.se, Tripstack, our B2B Flights as a Service Provider and world leader in virtual interlining, and Wenrix, the embedded AI platform for flights. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay. The Role Etraveli Group is scaling agentic AI across software engineering, finance, sales analytics and beyond. To support this we are looking for an AI Solutions Engineer to serve as a primary technical point-of-contact for our AI initiatives. Together with AI Business Analysis that will identify what we should build, you are responsible for the How. You will both support prototyping and transforming concepts into robust, scalable and production-ready AI systems. Hence, you will bridge the gap between rapid PoCs and core engineering, ensuring all components are reliable, secure and deeply integrated into our tech ecosystem. You will also work closely with Data and Machine Learning Engineers, Product Managers, and business stakeholders across the organisation. This is not a purely technical role. The right person can understand the underlying business needs and answer questions on feasibility and delivering value by selecting the latest AI technologies, agentic frameworks and orchestration patterns that don’t just conceptually look good, but actually solve high-stakes complexities within Etraveli. The role can be based in Gothenburg or Athens. Duties and Responsibilities Architectural Design & Scoping Study project feasibility by evaluating if the available data will suffice for the intended AI solution Perform and communicate Cost-Benefit Analyses and identify factors which are crucial to the success of a given initiative Plan integrations and design how AI solutions will communicate to existing systems Select tools and decide whether to use LLM APIs (Claude, OpenAI, Gemini), agentic frameworks, integration tooling or a more custom-build solution Prototype Development Build functional versions of AI workflows to show stakeholders how they will work in the real world Facilitate integrations between LLMs and our internal data sources, APIs and other travel platforms Customise general AI products for specific in-house use cases Productionising AI workflows Wrap AI solutions in robust APIs and deploy them into our in-house cloud so other teams can use them Own the technical architecture for AI implementations, ensuring they are scalable, maintainable, and cost-effective Collaborate with DevOps and Security teams to ensure AI solutions meet enterprise-grade privacy and compliance standards Observe deployed LLM based solution, tracking usage and costs together with more technical metrics such as drift or latency Technical Consulting & Advocacy Stay on top of latest LLM and agentic AI developments and bring relevant capabilities to the attention of the team Lead technical evaluations of new frameworks with regard to their potential of enabling new initiatives Act as the technical subject matter expert for AI within the tech organization supporting the organisation's transition to working with LLMs and agentic AI tools – helping teams move from curiosity to confident, productive use Requirements 3–5 years with a solid foundation as a Machine Learning Engineer or Backend Engineer focused on ML systems Understanding of core architectural components in modern AI systems Proficiency in Python with the ability to build scalable high performance services and integrated complex ML and AI logic into production environments Proven experience in deploying open source LLMs on on-prem infrastructure or building using external LLMs Strong understanding of RAG, vector databases and the infrastructure required to support data-heavy AI applications Exposure to concepts like CI/CD and Orchestration and a basic understanding about service monitoring and alarms as well as secrets management Benefits Our office is located in Merkurhuset in Gothenburg, a few steps away from public transport and lunch restaurants. We work on a hybrid-model where you can choose to work two days from home and you have two weeks per year that you can choose to work from a remote location We love gaming and after work activities. We know the value of personal development and continuous training. Hackathons and Dev Weeks - We believe in promoting creativity and trying new things. Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc. Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident. Daily breakfast – To kick the day off just right, breakfast is available at the office every morning. As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form. Diversity disclaimer At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.
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