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# Systems Software Engineer

- **Company:** RAYDAR, INC.
- **Location:** San Francisco, CA, United States
- **Contract:** Internship / Graduate position
- **Skills:** Machine Learning, Software Engineering, Open-source Models, Caching, Agentic-AI, Information Technology, Low Latency
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_B512B1A40D5196D3AD1D3A0DF9F3FD1E

## About the Role

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 PointsExperience 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.BenefitsHealth, dental and vision coverageUnlimited paid time offParental leaveLocation And Work ModelSan Francisco, CA, United StatesOn-site, 5 days per week in officeFull-timeCompensation, As The Posting Describes ItEquityMeals provided

## Description

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 DoDeliver 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 ForDeep 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