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
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Lead deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring.
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Diagnose and resolve hardware, software, perception, and integration issues in field and production environments.
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Collect operational data and failure modes to inform foundation model training and architecture.
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Troubleshoot integrations across perception hardware, compute stacks, and edge deployment environments.
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Travel to customer sites across the United States, adapting to changing deployment schedules.
What We're Looking For
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Two to eight years of hands-on experience deploying robotics or automation systems in factory, warehouse, or logistics environments.
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Experience in field engineering, forward deployed engineering, robotics deployment, ML or AI operations, or customer-facing technical work.
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Practical debugging experience with perception hardware such as cameras, depth sensors, tactile sensors, or pressure sensors.
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Some exposure to Vision-Language-Action models or learned robot policies; academic or lab experience is relevant.
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Comfort working hands-on across hardware and software, owning work from data collection through production fixes.
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Willingness to travel 50 to 75 percent and work from the San Francisco office about three days per week.
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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.
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