Mid-Level Forward Deployed Engineer

Wwshemi; San Francisco (CA); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Equity grant

Visa sponsorship

Comprehensive medical/dental/vision

Job summary

Wwshemi in San Francisco is seeking a hands-on Robotics Deployment Engineer to own deployments from data collection and model tuning through production monitoring.

You will diagnose hardware/software/perception issues during demos and live deployments, document field learnings, and troubleshoot across perception hardware, compute stacks, and edge environments. Expect 50–75% travel across the U.S.

Responsibilities

• Lead deployment cycles, including data collection, model tuning, physical system setup, and production monitoring.
• Diagnose and resolve hardware, software, and perception failures during demos and live deployments.
• Collect operational data and document failure modes to inform model training and architecture.
• Troubleshoot integrations across perception hardware, compute stacks, and edge environments.
• Travel 50 to 75% to customer sites across the United States, adjusting field schedules.

Job description

About the Role

Join a physical AI and robotics team deploying robotics systems in customer environments. You will own deployments from data collection and model tuning through production monitoring, while feeding field learnings back into model development.

What You'll Do

• Lead deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring.
• Diagnose and resolve hardware, software, and perception failures during demos and live deployments.
• Collect operational data and document failure modes to inform model training and architecture.
• Troubleshoot integrations across perception hardware, compute stacks, and edge environments.
• Travel 50 to 75% to customer sites across the United States, working around changing field schedules.

What We're Looking For

• 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 lab 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 also helpful but not required.
• Willingness to travel extensively and work from the San Francisco office about three days per week.

Compensation & Benefits

Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, dental, and vision coverage. Visa sponsorship is available.

Location

Hybrid, based in San Francisco, California, United States.