Systems Software Engineer Technology company San Francisco, California $200k to $300k USD base a year

# Systems Software EngineerTechnology company* LocationSan Francisco, California* TypeFull-time* Posted6 October 2026Apply for this roleTalk to us firstYou apply on Workable, where Raydar manages applications.The role, as published## About the companyOur client is a technology company.## The roleRaydar is recruiting for this role on behalf of our client. Work on low-level performance and infrastructure engineering for a production machine learning serving platform. You will tune software for speed and efficiency, run large compute clusters, and speak directly with customers as part of a small, high-ownership team.## What you'll do* **Deliver fast support for newly released open-source models**, tuned for low latency and high throughput.* **Improve the model serving** stack with techniques such as request batching, caching, decoding strategies and quantization.* Write and tune low-level GPU kernels across several hardware vendors.* **Design**, deploy and operate compute clusters built from mixed hardware.* **Run production inference across a varied fleet**, with attention to reliability, observability and cost efficiency at scale.* Talk with customers and help set the direction of your own work with a high degree of autonomy.## What we're looking for* Deep understanding of how computers work, including architecture, memory hierarchy and operating system internals, beyond application-level coding.* Backend, infrastructure or systems experience at a well-regarded technology company or an early-stage startup.* Real enthusiasm for using AI agents and coding tools to improve your own workflow.* A computer science degree from a strong undergraduate program.* Clear communication and emotional intelligence, as roughly 10 to 20 percent of the role is customer-facing.* Comfort working on-site five days a week.## Bonus points* Experience deploying or operating infrastructure at scale, such as clusters or large GPU fleets.* Experience with machine learning inference optimization.* Familiarity with GPU programming.* Academic background in low-level systems topics.* New graduates with strong internships are welcome.## Benefits* Health, dental and vision coverage* Unlimited paid time off* Parental leave## Location and work model* San Francisco, CA, United States* On-site, 5 days per week in office* Full-time## Compensation, as the posting describes it* Equity* Meals providedPay$200k to $300kUSD base a year #J-18808-Ljbffr