2-8 years of experience in deploying robotics or automation systems in industrial settings.
Hands-on debugging experience with hardware and software integrations, particularly sensors.
Basic knowledge of Vision-Language-Action models from academic or lab work.
Proactive approach to troubleshooting in physical AI and robotics.
Familiarity with GPU compute stacks or edge deployment environments is a plus.
Korean language skills are beneficial but not mandatory.
Willingness to travel 50-75% for customer site deployments.
Responsibilities
Lead deployment cycles from data collection to production monitoring.
Diagnose and resolve hardware, software, and perception issues during deployments.
Collect operational data and document failure modes for model improvement.
Troubleshoot integrations across various hardware and software environments.
Adapt to changing field schedules while traveling extensively.
Benefits
Early-stage equity grant.
Medical, dental, and vision coverage.
Visa sponsorship available.
Full Job Description
About the Role
Join a physical AI and robotics team deploying robotics systems in customer environments. You will own deployments from data collection and model tuning through production monitoring, while feeding field learnings back into model development. What You'll Do
Lead deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring.
Diagnose and resolve hardware, software, and perception failures during demos and live deployments.
Collect operational data and document failure modes to inform model training and architecture.
Troubleshoot integrations across perception hardware, compute stacks, and edge environments.
Travel 50 to 75% to customer sites across the United States, working around changing field schedules.
What We're Looking For
Two to eight years of experience deploying robotics or automation systems in factory, warehouse, or logistics environments.
Hands-on experience debugging hardware and software integrations in the field, including cameras, depth sensors, or tactile sensors.
Basic familiarity with Vision-Language-Action models, including through academic or lab projects.
Practical interest in physical AI and robotics, with a proactive approach to troubleshooting and learning.
Experience with GPU compute stacks or edge deployment environments is helpful. Korean language skills are also helpful but not required.
Willingness to travel extensively and work from the San Francisco office about three days per week.
Compensation & Benefits
Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, dental, and vision coverage. Visa sponsorship is available. Location
Hybrid, based in San Francisco, California, United States.
