Forward Deployed Engineer

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.