# Manufacturing Equipment Technician at Figure AI

> United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Afigureai%3A4553552006 (read 2026-11-14).

## Facts (observed)

- Company: [Figure AI](https://alderhq.app/companies/figure-ai)
- Location text: San Jose, CA; HQ
- Where it can be done from (inferred): United States (evidence: "Location: San Jose, CA; HQ")
- Posted: 2025-03-24 (599 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/figureai/jobs/4553552006

## Pay and sponsorship

- Posted pay: $83k–$135k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 3318): p25 $90k, median $146k, p75 $200k
- H-1B filings at this company for similar roles, FY26: 2 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Manufacturing Equipment Technician to support the Manufacturing Engineering Team with launching, maintaining, and improving assembly lines.

### Responsibilities

- Provide technician-level support for all manufacturing equipment, including but not limited to adhesive dispense systems, 3-axis robot gantries, laser cleaners, laser welders, wirebonders, vision systems, torque tools, custom fixtures, and tooling.
- Serve as the first point of contact to troubleshoot issues that arise during production.
- Develop and own a full maintenance program, including setting preventative maintenance schedules, ensuring a proper supply of spare parts, and writing standard operating procedures for maintenance.
- Write standard operating procedures/work instructions for operation of equipment.
- Operate equipment during initial process validation builds.
- Train operators and associates on operation of equipment in steady state production.
- Support engineering teams with line setup and process validation (e.g., gauge R&R testing, process window qualification, NPI validation builds).
- Support engineering teams on failure root cause investigations.
- Support cycle time studies.
- Take ownership of implementing equipment/process improvements to improve safety, quality, and throughput.
### Requirements

- Experience with high tech manufacturing tools and automation.
- Occasional travel to equipment vendor locations.
- Familiarity with basic tools and facilities equipment such as drills, soldering irons, wire crimping, and compressed air fittings.
- Ability to take full ownership of projects with minimal direction from managers.
- Respectful work attitude with a championship mindset.
- Excellent time management skills and a commitment to punctuality.
- Previous experience working in a manufacturing environment with complex equipment.
- Strong attention to detail with a methodical approach to documentation and organization.
- Ability to lift and transport materials safely (up to 50lbs as required).
- Excellent communication skills and ability to work effectively in a team setting.
### Bonus Qualifications

- Experience working with battery cells.
- Experience working with adhesive dispense systems.
- Experience working with laser weld equipment.
- Background in machining and fabrication.
- Forklift or other powered equipment certification (preferred but not required).
The US base pay range for this full-time position is $40.00 to $65.00 per hour.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Afigureai%3A4553552006 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.