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OpenAI

Field Engineer

San Francisco$266k–$380kfulltimemidAdded today

About this role

OpenAI seeks a Field Engineer to maintain and troubleshoot a fleet of operational robotic workcells in San Francisco. You'll diagnose hardware and software failures, build diagnostic tools, create operational documentation, and partner with technicians and engineers to improve system reliability and uptime at scale.

What you'll do

  • Own day-to-day technical health and uptime of deployed robotic workcells in live operations
  • Diagnose and resolve failures spanning mechanics, electronics, controls, software, and configuration
  • Build lightweight hardware and software tools for monitoring, diagnostics, and fleet management
  • Create documentation, standard operating procedures, and diagnostic playbooks for field teams
  • Manage support tickets, maintain issue history, and escalate problems appropriately
  • Analyze fleet trends and recurring failures to identify reliability improvements

What they're looking for

  • Troubleshooting electromechanical and robotic systems in production environments
  • Hands-on diagnostics across mechanical, electrical, controls, and software domains
  • Linux-based systems and real-time debugging tools
  • Robot middleware and motion-control stack familiarity
  • Electrical assembly and hardware-software integration debugging
  • Technical documentation and clear communication across technical levels
  • Lightweight scripting and data analysis
  • CAD for component design and fixture modifications
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Walk us through a time you diagnosed a complex failure in a robotic or electromechanical system where the symptom didn't match the root cause—how did you approach it?
  • Describe your experience supporting systems in live operational or production environments. How did you prioritize between quick fixes and long-term reliability?
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