Forward Deployed Engineer, Robotics / Physical AI
Hashlist · San Francisco Bay Area · 2 wk ago
HybridEngineeringFull-time
About the role
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