Test Engineer
Confirmed live in the last 24 hours
Overland AI
Job Description
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
Overland AI is hiring a Test Engineer within the Systems, Safety, and Test (SST) organization to partner with engineering teams in driving how our autonomous vehicle systems are tested, qualified, and released. This role is responsible for designing and running structured test campaigns that validate system performance, safety, and reliability across simulation, lab, and real-world field environments.
As a Test Engineer, work closely with systems, software, hardware and safety leads to translate system requirements, risks, and new capabilities into executable test plans and campaigns. You define how and when tests are run, what tools and automation are required, and what evidence is needed to support release decisions and customer readiness. You work hands-on with vehicles in rugged environments while also shaping the test infrastructure that enables repeatable, scalable validation.
This position is central to Overland’s test-forward culture, where frequent, high-quality testing in real environments—driven through strong technical collaboration—enables rapid iteration without compromising safety or rigor.
Key Responsibilities
- gorustmachine learningaidatadesign