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Figure AI, an AI robotics company in San Jose, is seeking a Deployment Engineer to support on-site deployment and testing at customer sites. You will work with engineering to develop plans, execute tests, collect data, and ensure performance meets customer requirements.
The role requires 3–5+ years in robotics integration, a hardware-to-software mindset, and comfort traveling between HQ and client locations.
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.
The Deployment Engineer will be a key team member supporting deployment into customer sites.
Support engineering with deployment and development, serving as an on-site representative.
Develop testing plans and procedures for customer site, prioritizing roadmaps and development goals.
Execute testing at the customer site, including tracking and analyzing data collections and debugging as necessary.
Ensure the necessary testing goals are achieved while maintaining and exceeding customer performance expectations and requirements.
Collect and analyze testing data to improve our software and hardware performance.
Communicate feedback to engineering clearly.
3-5+ years of work experience in automotive or industrial automation/robotics integration, deployment, and development.
Engineering degree.
Excellent judgment and execution in high pressure situations.
Experience transitioning products from design to pilot to commercialization.
Familiarity with project management software (Confluence, Jira, etc.).
Willingness to travel frequently between HQ and customer site.
Experience with Linux, Python or other coding languages.
Experience in customer-facing roles.
Software validation experience.
The US base salary range for this full-time position is $120,000 to $180,000 per year.
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.