4 hours ago
Base Salary
$180k - $220k/yr
Responsibilities
- Lead deployment cycles from data collection and model fine-tuning through physical system setup and production monitoring.
- Diagnose and resolve hardware, software, and perception failures during demonstrations and live deployments.
- Collect operational data and document failure modes to inform model training and system architecture.
- Troubleshoot integrations across perception hardware, compute stacks, and edge deployment environments.
- Travel extensively to customer sites across the United States and work around changing field schedules.
Requirements
- 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 laboratory 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 helpful but not required.
- Willingness to travel extensively and work from the San Francisco office about three days per week.
Benefits
- Early-stage equity grant.
- Medical, dental, and vision coverage.
- Visa sponsorship is available.
- Hybrid role based in San Francisco, with approximately three office days per week and 50–75% travel to customer sites.
Tech Stack
Robot Framework
Categories
Forward Deployed