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Hardware Engineering Support

$120k - $150k

Overland AI

Field-Forward Hardware Engineer

Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.

We are looking for a field-forward, Hardware Engineer to deploy, operate, maintain, troubleshoot, and train end-users on autonomous ground-vehicle platforms in real operational environments. This role is for someone who is most comfortable hands-on with vehicles, thrives in the field, and knows how to keep machines running when conditions are far from ideal.

You will spend significant time deployed at test sites, customer locations, and operational events, working directly on vehicles, diagnosing issues, making repairs, and ensuring systems are mission-ready.

Deploy and Field-Test Systems: When not traveling, you will be supporting payload integration and vehicle field testing between our Seattle and Central Washington State locations.

Perform hands-on troubleshooting, maintenance, and repair of vehicle systems including electronics, sensors, wiring, power, networking, and mechanical interfaces. Contribute to hardware/software integration and enhancements, leveraging user feedback to improve autonomy capabilities.

Document and Analyze: Maintain detailed records of field performance, documenting lessons learned and recommending improvements.

Train and Support Users: Provide on-site training and support to end users/operators on system usage, maintenance, and safety. Help ensure operational readiness before and during field deployment.

Bachelor's degree in engineering, or a similar technical field, or 5 to 8 years of equivalent work experience.

DoD security clearance.

Proven hands-on experience working with vehicles or complex hardware systems.

Strong mechanical engineering intuition and the ability to work in ambiguous environment(s).

Proficiency in one or more of the following: robotics, sensors, networking, embedded systems, electronics, off-road vehicle operations and maintenance.

Comfort working with electrical systems, sensors, wiring, connectors, and power systems.

Experience with uncrewed systems and robotics software (e.g., Experience with programming languages such as Python or C++ is a plus.

Knowledge of field-testing protocols and safety-critical environments.

Ability to operate and problem solve independently in challenging conditions, including adverse weather and remote locations.

Experience deploying hardware and software in defense technology, deep tech, or start-up environments.

Prior experience supporting hardware during live demos, tests, or operational events.

Willingness to co-locate at testing sites or military installations for extended periods, both CONUS and OCONUS.

When not traveling, expect to be working out of our Central Washington State test site and/or in our Seattle locations. Frequent, extended travel expected (50%).

Equity compensation

  • Best-in-class healthcare, dental, and vision plans
  • Flexible PTO
  • We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law. This position may involve access to export-controlled technology. Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process.
Vacancy posted 2 days ago
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