About Overland AI:  Founded in 2022 and headquartered in Seattle, Washington, <a href="http://www.overland.ai/">Overland AI</a> 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 $42M in funding, including a Series A led by 8VC, 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’re seeking forward-deployed hardware and software Engineers at all levels to work at the intersection of field operations and cutting-edge robotics. This role involves designing, deploying, and sustaining autonomous software and hardware systems in austere environments while collaborating directly with end-users to refine solutions. Frequent and extended travel is expected in this role. Key Responsibilities:  <ul> <li>Deploy and Field-Test Systems: Install, configure, and evaluate OverDrive systems on uncrewed vehicles in real-world conditions.</li> <li>Develop and Iterate: Contribute to hardware/software integration and enhancements, leveraging user feedback to improve autonomy capabilities.</li> <li>Support Field Operations: Troubleshoot and repair systems during deployment, often in remote and resource-limited settings.</li> <li>Collaborate Across Teams: Partner with engineers and program managers to ensure seamless deployment and alignment with end-user needs.</li> <li>Document and Analyze: Maintain detailed records of field performance, documenting lessons learned and recommending improvements.</li> <li>Train and Support Users: Act as the on-site expert, training users and ensuring operational readiness.</li> </ul> Minimum Requirements: <ul> <li>Willingness to travel extensively (&gt;50%) both CONUS and OCONUS to support DoD projects, often on short notice.</li> <li>BS/MS in Engineering, Computer Science, or related field (or equivalent experience).</li> <li>Proficiency in one or more of the following: robotics, sensors, networking, embedded systems, electronics, off-road vehicle operations and maintenance.</li> <li>Experience supporting systems in Linux environments, including debugging hardware and software in the field.</li> <li>Ability to obtain and maintain a U.S. DoD security clearance.</li> </ul> Desired Experience &amp; Qualifications:  <ul> <li>Resilient problem-solver with a focus on delivering results under pressure.</li> <li>Experience with uncrewed systems and robotics software (e.g., ROS, CAN, drive-by-wire systems).</li> <li>Familiarity with autonomous system sensors (LIDAR, cameras).</li> <li>Proficiency with programming languages such as Python or C++.</li> <li>Knowledge of field-testing protocols and safety-critical environments.</li> <li>Enthusiasm for solving problems hands-on in challenging conditions, including adverse weather and remote locations.</li> <li>Thrive in dynamic, cross-functional teams and small startup environments.</li> <li>Experience deploying hardware and software in defense technology, deep tech, or start up environments.</li> <li>Willingness to co-locate at testing sites or military installations for extended periods, both CONUS and OCONUS. </li> </ul> Benefits:  Overland AI believes in creating a work environment that you look forward to embracing every day.   <ul> <li>The salary range for this position is $65K to $350K annually </li> <li>Equity compensation </li> <li>Best-in-class healthcare, dental and vision plans  </li> <li>Unlimited PTO </li> <li>401k with company match </li> <li>Parental leave </li> </ul> Location: This position can be located anywhere within the US. Frequent, extended travel expected (&gt;50%).