Deployment Engineer - Commercial Site Team

Figure AI
Los Angeles, US
On-siteCareer-pivot friendly

Who this role is best for

Best suited to mid-level engineers with automotive or robotics experience who thrive in customer-facing site deployments.

Best fit for

  • Engineers comfortable with frequent travel between HQ and customer sites.
    — “Willingness to travel frequently between HQ and customer site”
  • Candidates with experience transitioning products from design to commercialization.
    — “Experience transitioning products from design to pilot to commercialization”
  • Individuals who can execute under pressure while maintaining customer expectations.
    — “Excellent judgment and execution in high pressure situations”

Things to consider

  • Role requires being based at customer sites in Los Angeles, not HQ.
    — “this role will be based at one of our customer sites in Los Angeles”
  • Must have 3-5+ years in automotive or industrial automation/robotics.
    — “3-5+ years of work experience in automotive or industrial automation/robotics”

How to stand out

  • Demonstrate specific examples of debugging hardware/software at customer sites.
    — “tracking and analyzing data collections and debugging as necessary”
  • Highlight experience with software validation in past roles.
    — “Software validation experience”
  • Showcase project management software proficiency in your application.
    — “Familiarity with project management software (Confluence, Jira, etc.)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful deployment of robots
  • positive customer feedback
Typical background
engineering degreeexperience in robotics or automation

Skills & requirements

Required

Robotics IntegrationProject ManagementLinuxPythonCustomer-facing Roles

Preferred

Software Validation

Stack & domain

LinuxPythonProject Management SoftwareCoding LanguagesCommunicationProblem-solvingDecision-makingAutomationRobotics

About the role

Original posting from Figure AI via Greenhouse

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, but this role will be based at one of our customer sites in Los Angeles, CA.

The Deployment Engineer will be a key team member initially for development, and shortly thereafter deployment into customer sites. 

Responsibilities: 

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

Requirements: 

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 

Bonus Qualifications:

Software validation experience

The US base salary range for this full-time position is between $120,000 - $180,000 annually.

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.

Source: Figure AI careers (Greenhouse)

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