Software Engineer, ML Platform
Hybrid (San Francisco / Palo Alto / New York)$0full-timePosted 1mo ago
About the role
Software Engineer on ML Platform at SpaceXAI, building infrastructure to turn real product usage into better models and support research on large GPU fleets. Four teams within ML Platform: Telemetry, ML Data Platform, Observability, and ML DevX and Systems. In-person offices in North Beach (SF), Palo Alto, and Manhattan (NYC).
Responsibilities
- Design, build, and operate core platform systems used daily by ML researchers and product engineers
- Partner closely with research to turn recurring pain into durable infrastructure
- Own reliability, performance, and developer experience for the systems in your lane
- Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar
Qualifications
- Strong background in systems / infrastructure software engineering and enjoy building platforms other engineers depend on
- Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
- Comfort with Linux, cloud and/or bare metal, and modern orchestration (Kubernetes, Ray, or equivalent)
- Enjoy working closely with ML researchers and product engineers
- Thrive where ownership is high and feedback loop is short
Skills
Required:Distributed systemsSystem designLinux / cloud / orchestration
Last updated Oct 15, 2026. Interested? Apply on the company site.
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