Systems Software Engineer

location_onSan Francisco, California, United Statespayments$200,000 – $300,000/yrschedule2 days ago
sync_altWork style:Hybrid
badgeEmployment:Full-time
historyMinimum experience:0+ years
schoolEducation:Bachelor’s degree
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Job description

About the company

Our client is a technology company.

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.

Requirements

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

Compensation and benefits

- Base salary: USD 200,000 to 300,000 per year

- Equity

- Health, dental and vision coverage

- Meals provided

- 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

Skills mentioned


San Francisco, California, United States

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