About the Role
Join a robotics AI team deploying physical automation systems in customer facilities. You will own deployments from data collection and model fine-tuning through production monitoring, troubleshooting, and operational feedback that improves the underlying models.
What You'll Do
Lead deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring.
Diagnose and resolve hardware, software, perception, and integration issues in field and production environments.
Collect operational data and failure modes to inform foundation model training and architecture.
Troubleshoot integrations across perception hardware, compute stacks, and edge deployment environments.
Travel to customer sites across the United States, adapting to changing deployment schedules.
What We're Looking For
Two to eight years of hands-on experience deploying robotics or automation systems in factory, warehouse, or logistics environments.
Experience in field engineering, forward deployed engineering, robotics deployment, ML or AI operations, or customer-facing technical work.
Practical debugging experience with perception hardware such as cameras, depth sensors, tactile sensors, or pressure sensors.
Some exposure to Vision-Language-Action models or learned robot policies; academic or lab experience is relevant.
Comfort working hands-on across hardware and software, owning work from data collection through production fixes.
Willingness to travel 50 to 75 percent and work from the San Francisco office about three days per week.
Experience with GPU compute stacks and edge deployment is helpful. Korean language proficiency is also helpful.
Compensation & Benefits
Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, dental, and vision coverage. H-1B transfers are supported; new visa sponsorship is not available.
Location
Hybrid in San Francisco, California, with frequent travel to customer sites across the United States.