Infrastructure Software Engineer

The RoleRaydar is recruiting for this role on behalf of our client. Own and build the backend and machine learning infrastructure that supports a fleet of deployed hardware. The work spans data pipelines, compute resources and internal tooling, shifting to wherever the current engineering bottleneck sits while helping establish early engineering standards.What You'll DoBuild and own the platform that runs large model training jobs, covering job scheduling, resilience to failures and network connectivity.Design data pipelines that move very large volumes of telemetry and video into training while keeping compute fully utilized.Architect an automated feedback loop that returns production data from deployed devices back into model improvement.Shift focus week to week toward the most pressing bottleneck, whether a deployment path, a shared library or a monitoring gap.Develop internal tooling that helps every engineer and researcher work faster.What We're Looking For2+ years of experience in distributed systems or machine learning infrastructure.Background at a high-caliber technology company or lab with a demanding hiring bar.Experience shipping production software on physical robots or autonomous vehicles.Solid engineering fundamentals in backend systems, data movement and compute infrastructure.Hands-on work with very large datasets or training jobs spread across many machines.Ability to work on-site 6 days per week.BenefitsHealth, dental and vision coverageLocation and Work ModelSan Francisco, CA, United StatesOn-site, 6 days per week in officeFull-timeCompensation, As The Posting Describes ItEquity