Join a robotics and physical AI team deploying systems in live customer environments. You will own the deployment lifecycle, connect field learnings to model development, and help improve the reliability of real-world robotic systems.
Drive deployment cycles from operational data collection and model fine-tuning through system setup and production monitoring.
Diagnose and resolve hardware, software, perception, and integration issues in field and production settings.
Capture operational data and failure modes to inform foundation model training and system architecture.
Troubleshoot integrations across perception hardware, compute stacks, and edge deployment environments.
Travel to customer sites across the United States, adapting to changing field schedules.
Two to eight years of hands-on experience deploying robotics or automation systems in factory, warehouse, or logistics environments.
Experience in forward deployed engineering, field engineering, ML/AI operations, customer-facing technical work, or related robotics deployment roles.
Practical debugging experience with perception hardware such as cameras, depth sensors, tactile sensors, or pressure sensors.
Some familiarity with Vision-Language-Action models or learned robot policies, including academic or lab exposure.
Comfort working across hardware and software, collecting data, and resolving production issues in a fast-moving environment.
Willingness to travel 50% to 75% and work from the San Francisco office about three days per week.
Hands-on experience with GPU compute stacks and edge deployment is beneficial. Korean language proficiency is also helpful.
Base salary is $180,000 to $220,000 annually, with an equity grant and medical, dental, and vision benefits. Visa sponsorship is not available for new applications; candidates with existing US work authorization or an H-1B eligible for transfer may be considered.
Hybrid, based in San Francisco, California, with regular travel to customer sites across the United States.