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Systems Software Engineer

Technology , Inc.

The Role

Raydar 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 provided
Vacancy posted 3 days ago
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