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Forward Deployed Engineer, Robotics / Physical AI

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Onsite

Forward Deployed Engineer, Robotics / Physical AI

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Forward Deployed Engineer, Robotics / Physical AI

Skills

AI

2 months ago

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Important information


Contract type:

Permanent

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

31 August 2026

What they need


We are looking for a Forward Deployed Engineer, Robotics / Physical AI. This is a hands-on field role with a fast-growing Physical AI company, deploying robotics and automation solutions directly at customer sites and debugging complex hardware/software integrations in the real world.

Engagement details:

  • Location: San Francisco, United States
  • Working model: Hybrid
  • Start date: ASAP
  • Employment type: Full-time, Contract or Freelance

Responsibilities:

  • Deploy robotics and automation solutions at customer sites across factory and logistics settings
  • Debug complex hardware and software integrations hands-on in the field
  • Work with and troubleshoot the perception stack - hi-fi optical cameras, depth sensors, and pressure/tactile sensors
  • Support and iterate on Vision-Language-Action (VLA) systems in real-world deployments
  • Adapt to unpredictable field deployment hours and keep customer installations on track
  • Interface with international teams to align on deployment goals

Qualifications:

  • 2–3+ years deploying robotics or automation solutions in factory or logistics settings
  • Early-stage startup experience with a scrappy, proactive approach to debugging complex hardware and software integrations
  • Working knowledge and practical debugging experience with perception hardware (hi-fi optical cameras, depth perception sensors, pressure/tactile sensors)
  • Basic modeling understanding and practical exposure to Vision-Language-Action (VLA) architectures (academic or lab experience is fully valid)
  • Willingness to travel 50%–75% to customer sites across the US
  • Functional or professional proficiency in Korean (required for 1–2 roles on this team to interface with international teams)

Nice-to-have:

  • Hands-on experience with GPU compute stacks and edge deployment environments

Next steps:

  • Press "Apply"
  • We will review your application
  • If qualified, you will be accepted into the network and can be considered for this and similar positions & projects

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