Figure logo

Deployment Engineering Intern

Figure

San Jose, CAFull-time$35–40/hrPosted 1 day agoStill listed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$35–40/hr
Location
San Jose, CA
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Figure is seeking a Deployment Engineering Intern for Winter 2027 to support its Commercial Operations team. The intern will work with deployment engineers and the pilot team to improve how humanoid robots are operated and troubleshot in real-world settings. The role includes triaging field issues, testing changes, maintaining technical documentation, and developing training to help pilots troubleshoot independently.

Skills & qualifications

RequiredNice to have

Skills

ConfluenceRoboticsTechnical WritingMentorshipJiraProject ManagementArtificial IntelligenceProblem SolvingDebuggingExplaining Complex ConceptsLearning New SystemsHands-on Hardware WorkOrganizationSelf-DirectionJudgmentCommunicationTutorial CreationTraining MaterialsTeachingLinuxPythonRobotic Systems DebuggingAutomated Systems DebuggingDocumentation ToolsNotion

Qualifications

Bachelor's in Electrical, Computer, or Robotics Engineering, Computer Science, or Related Field10-Week Minimum Internship

Full job description

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 Deployment Engineering Intern to join our Commercial Operations team for Winter 2027. This role works directly with deployment engineers and the pilot team to make our humanoid robots easier to operate and troubleshoot in real-world settings. You will help triage and organize issues from the field: reproducing problems, spotting patterns and preparing clear, well-documented reports for the deployment engineering team. You'll also turn what you learn into documentation and training that helps pilots troubleshoot on their own.

Responsibilities:

• Triage incoming field issues alongside deployment engineers. Reproduce problems, gather logs and context, and build a playbook for pilots to reference for common issues.

• Test software and hardware changes and gather feedback from pilot team to create robust SOP and technical systems.

• Build and maintain a system that keeps technical documentation and training up to date as software and hardware change.

• Develop curriculum that strengthens pilots' troubleshooting skills, and help coaches teach it efficiently.

• Shadow deployment engineers on bug triage, issue tracking, and testing, and turn what you learn into better documentation.

• Collect feedback from pilots and coaches and communicate gaps clearly to engineering.

Requirements:

• Currently pursuing a Bachelor's in Electrical, Computer, or Robotics Engineering, Computer Science, or a related field.

• Minimum 10 weeks internship, starting January 2027.

• Excellent problem solving and debugging skills.

• Strong technical writing skills and the ability to explain complex concepts simply.

• Comfortable learning new systems quickly and working hands-on with hardware.

• Organized and self-directed, with good judgment in a fast-paced environment.

• Clear communicator who works well with pilots, coaches, and engineers.

Bonus Qualifications:

• Experience creating tutorials, training materials, or teaching (TA, tutoring, mentoring).

• Familiarity with Linux, Python, or debugging robotic or automated systems.

• Experience with project management or documentation tools (Confluence, Jira, Notion).

The US base pay range for this full-time position is $35.00 to $40.00 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.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.