Software Engineer, Graphics & Media

Stripe

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the Role As an early member of the Bridge engineering team, you'll have the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago, and that's because our team is dedicated to constant improvement for our partners and end users. Our engineers have outsized ownership over projects, so if you're looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you. Responsibilities • Ship software to build out our suite of API products. We're an engineering and API-first company, and you'll learn first-hand and contribute towards building highly reliable, performant, and business-critical infrastructure serving thousands of developers across the globe. • Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal and Compliance and externally with our partners and developers. • Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users. • Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation. • Improve engineering standards, tooling, and processes for the team and our broader org. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements • We're open to hiring engineers at various levels of seniority (SWE through Senior Staff), but at a minimum we're looking for somebody with 5+ years of experience. • Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express, or equivalent is a bonus. • An enlarged sense of ownership and the ability to lead and influence the design and direction of our products • An ability to thrive in a fast-paced environment • A growth mindset, constant curiosity, and fearlessness to dive into the unknown • An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast • Excellent written and verbal communication skills, including the ability to write clear technical documentation Preferred Qualifications • Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space • Experience with building API products a plus, but not required • Experience working with blockchain or distributed systems a big plus

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.

Airtable

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. The Compute Platform team is responsible for building and evolving the infrastructure that powers Airtable’s services at scale. We enable engineers across the company to build, deploy, and operate reliable services on Kubernetes with strong security, governance, and performance guardrails. We are looking for an engineer to help lead the next phase of platform maturity in how we run Kubernetes at Airtable. This is a role that has engineering wide impact. If you’re excited about building internal platforms, shaping infrastructure strategy, and partnering closely with product and security teams to power a rapidly growing enterprise business, we’d love to hear from you. WHAT YOU’LL DO: BUILD AND EVOLVE AIRTABLE’S COMPUTE PLATFORM * Design, implement, and scale core Kubernetes platform capabilities used across ~70 clusters, spread across multiple environments. * Lead foundational modernization efforts such as migrating to a new CNI plugin to overhaul IP security rule management across clusters and regions * Rewrite our core deployment service from Typescript to Golang and adopt performant Kubernetes operator patterns to eliminate scaling bottlenecks on our larger clusters RAISE THE BAR ON PLATFORM MATURITY * Improve developer experience around new service creation, deployment workflows, and operational best practices * Partner with Security to implement governance controls, least privilege access, image signing, and enterprise-grade infrastructure safeguards * Define and uphold operational excellence standards across the platform by defining good SLOs, measuring and upholding them LEAD THROUGH TECHNICAL INFLUENCE * Spend roughly 70% of your time in hands-on engineering and 30% in design reviews, mentorship, and cross-team collaboration * Review architecture proposals and guide high-impact infrastructure decisions * Mentor engineers on distributed systems and Kubernetes platform design * Collaborate closely with developers building and deploying services across Airtable WHO YOU ARE: * 8+ years of software engineering experience, with deep expertise building and operating a Kubernetes based internal service platform,  * Strong understanding of Kubernetes internals, including controllers/operators, CRDs, networking, and cluster architecture * Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, OpenTofu, Pulumi, or similar * Experience with CI/CD and deployment tooling such as Spinnaker, ArgoCD, Flux, Jenkins, or similar * Clear, thoughtful communicator who collaborates effectively across many engineering teams * Empathetic partner to product engineers, with a strong sense of ownership and autonomy * Preferably experience with AWS infrastructure and EKS Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.  VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. ---------------------------------------------------------------------------------------------------------------------------------- Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $196,000—$339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.