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Figure

Deployment Engineer - Commercial Site Team

Fontana, CA$120k–$200kmidAdded 1 month ago

About this role

Figure, an AI robotics company, seeks a Deployment Engineer to serve as an on-site lead at a Los Angeles customer location, managing testing procedures, data collection, and coordination between field operations and engineering teams for humanoid robot development and deployment.

What you'll do

  • Act as on-site representative supporting deployment and development initiatives
  • Design and execute testing plans aligned with customer requirements and roadmap priorities
  • Conduct field testing, collect data, and perform debugging to identify issues
  • Analyze test results to inform improvements to software and hardware systems
  • Communicate technical feedback from the field back to engineering teams
  • Maintain customer satisfaction by meeting performance expectations and goals

What they're looking for

  • Robotics or industrial automation integration and deployment
  • Project management tools (Confluence, Jira)
  • Linux and Python programming
  • Technical problem-solving and debugging
  • Data collection and analysis
  • Customer-facing communication
  • Product lifecycle management (design to commercialization)
  • Performance testing and validation

Benefits

  • Competitive salary ($120,000 - $200,000 annually)
  • Additional compensation components (details upon offer)
  • Opportunity to work with cutting-edge AI robotics technology
  • Role transitioning to deployment leadership as company scales
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Figure

Figure develops advanced humanoid robots powered by AI technology. The company is hiring engineers across mechanical design, firmware development, manufacturing, quality assurance, and security to build and refine its autonomous robotic systems.

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Likely interview questions

  • Walk us through your experience transitioning a product from design phase through pilot testing to commercial deployment. What were the biggest challenges?
  • Describe a time you had to debug a complex issue at a customer site under pressure. How did you approach it and communicate findings back to your engineering team?
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