Top Robotics DevOps & Platform Engineering Jobs in San Francisco, CA

Provide Tier 2 application and software support for deployed physical-AI systems: diagnose issues using logs, telemetry, and DBs; implement hot-fixes and runbooks; embed at customer sites for NPI and long-term support; collaborate with TAC, Product Support, and Engineering to improve reliability and tooling.

The role involves deploying and managing AI Compute infrastructure in Linux environments, serving as a technical liaison between NVIDIA and customers, and providing expert support and documentation.

Lead the technical direction of a DevOps team, focusing on automation, Kubernetes optimization, and infrastructure design while mentoring engineers and ensuring project delivery.

Drive the development of a secure and efficient software delivery system across robotics and cloud, focusing on CI/CD automation and reliability engineering.

Lead the reliability and scalability of BRINC's production systems, building secure cloud infrastructure and improving incident response. Collaborate with teams for optimal system performance.