Forward Deployed Engineer
Company websitegetclera.com (Clera, opens in new tab)
Base salary $180K to $220K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About the Role
Join a physical AI and robotics team deploying robotics systems in customer facilities. You will own deployments from data collection and model tuning through production troubleshooting, helping operational insights improve the underlying models.
What You'll Do
Drive deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring.
Diagnose and patch hardware, software, and perception failures 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 settings.
Experience in forward deployed engineering, field engineering, ML or AI operations, robotics deployment, or customer-facing technical work.
Practical debugging experience with perception hardware such as optical 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 debugging hardware and software integrations, collecting data, and owning production fixes in a fast-moving environment.
Experience with GPU compute stacks and edge deployment is useful. Korean language proficiency is also helpful.
Willingness to travel 50% to 75% and work from the San Francisco office about three days per week.
Must have US work authorization or be eligible for an H-1B transfer. New visa sponsorship is not available.
Compensation & Benefits
Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, dental, and vision coverage.
Location
Hybrid in San Francisco, California, with frequent travel to customer deployment sites across the United States.
Source: Clera on Ashby · View original posting (opens in new tab)
This listingForward Deployed Engineer$180K to $220K
Founding Forward Deployed Engineer$180K to $250K
Head of Engineering$180K to $220K
Founding Applied AI Engineer$180K to $230K
QA Engineer$180K to $200K
Founding Full Stack Engineer$180K to $230K
Founding Design Engineer$180K to $220K
Chart as a table
| Role | Published base |
|---|---|
| Forward Deployed Engineer (this listing) | $180K - $220K |
| Founding Forward Deployed Engineer | $180K - $250K |
| Head of Engineering | $180K - $220K |
| Founding Applied AI Engineer | $180K - $230K |
| QA Engineer | $180K - $200K |
| Founding Full Stack Engineer | $180K - $230K |
| Founding Design Engineer | $180K - $220K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-11-04
Where this pay comes from
Location as the employer wrote it: San Francisco
Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, den
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
