Forward Deployed Hardware Engineer | Overland AI · Teeming.ai
Overland AI
Overland AI is a pioneering company specializing in advanced ground autonomy solutions for defense applications. They develop fully autonomous tactical vehicles and modular payloads designed for…
Overland AI is a pioneering company specializing in advanced ground autonomy solutions for defense applications. They develop fully autonomous tactical vehicles and modular payloads designed for…
Notable customers/validation: U.S. Army, Marine Corps, Special Operations Command; DARPA validation
Total funding (reported): USD 142,000,000
Byron Boots, Stephanie Bonk
Company Overview
Problem Domain
Autonomous ground mobility and autonomy integration for military and defense applications operating in GPS-denied and harsh terrain.
Founded
2022
Industry
Defense and Space Manufacturing
Tech Stack
Cloudflare
nginx
Microsoft
Microsoft Authentication Library for JavaScript
Greenhouse
Common Crawl
Funding Track Record
Series A
32000000 USD
Reported $32 million Series A to advance ground autonomy for U.S. defense forces.
- 2026-02-03
100000000 USD
Reported $100 million financing led by 8VC to scale ground autonomy with U.S. armed forces.
Investor Signal
“Participation from venture and institutional investors including 8VC, Point72 Ventures, Ascend Venture Capital, Shasta Ventures, Overmatch Ventures, Valor Equity Partners, StepStone Group and others”
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Founders:
About Overland AI:
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. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors, including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. 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.
Role Summary:
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.
This is not a desk job. 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.
Responsibilities:
Minimum Requirements:
Bachelor's degree in engineering, or a similar technical field, or 5 to 8 years of equivalent work experience.
Ability to obtain and maintain a U.S. DoD security clearance.
Desired Experience & Qualifications:
Benefits:
Overland AI believes in creating a work environment that you look forward to embracing every day.
The salary range for this position is $120K to $150K annually
Equity compensation
Best-in-class healthcare, dental, and vision plans
Flexible PTO
401k with company match
Parental leave
Location:
This position is located in Washington State. 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%).
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Deploy and Field-Test Systems
: Deploy and test autonomous vehicles and their payloads in real-world environments. When not traveling, you will be supporting payload integration and vehicle field testing between our Seattle and Central Washington State locations.
Sustain
: Perform hands-on troubleshooting, maintenance, and repair of vehicle systems including electronics, sensors, wiring, power, networking, and mechanical interfaces. Diagnose failures under time pressure and in resource-constrained environments, then implement practical fixes to keep vehicles operational.
Develop and Iterate
: Contribute to hardware/software integration and enhancements, leveraging user feedback to improve autonomy capabilities.
Collaborate Across Teams
: Partner with engineers and program managers to ensure seamless deployment and alignment with end-user needs.
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.
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., ROS, CAN, drive-by-wire systems).
Familiarity with autonomous system sensors (LIDAR, cameras).
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.
Thrive in dynamic, cross-functional teams and small startup environments.
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.
