Software Engineer - Planning

Role Summary: We are seeking a Software Engineer - Planning to design and implement navigational planning algorithms in complex off-road and on-road terrain for unmanned ground vehicles using local sensing. These systems must perform in punishing terrain: understanding how to balance fidelity and optimality against computational efficiency and robustness is a must for high-speed movement. The ideal candidate has experience with both classical and learned approaches to solving planning problems under uncertainty, experience with unmanned ground vehicles, and an understanding of both the benefits and limitations of prior maps. In this role, you will: Design and implement planning algorithms for navigating autonomous ground vehicles through complex off-road terrain. Interact frequently with perception and control teams to create shared solutions to challenges. Support rapid integration and adjustment of planning algorithms for a wide variety of vehicles and sensing modalities. Work closely with other teams on software development of a shared codebase. Leverage a significant corpus of offroad driving data to improve and backstop performance via regression and progression testing. Participate in field tests and demonstrations / events for product testing and evaluation. Minimum Qualifications : Bachelor's degree in computer science, engineering, or related discipline and 5+ years of relevant experience; OR 3+ years of relevant professional experience with an advanced degree. Development experience developing production grade software in Python or C++. Desired Experience & Qualifications: MS degree or PhD preferred. Experience creating planning algorithms to handle changing and uncertain environments for mobile robots. Experience designing systems to work in GPS Denied, Degraded, Intermittent, and Limited (DDIL) environments. Experience with offroad planning for unmanned ground vehicles. Experience with on-road planning in structured environments. Experience working with and / or incorporating opportunistic prior mapping data. Location: The location for this position will be onsite in either Seattle, WA or Bay Area, CA. Benefits: Pay range: Software Engineer: $160,000 - $190,000 annually Senior Software Engineer: $200,000 - $230,000 annually Overland AI believes in creating a work environment that you look forward to embracing every day. Equity Compensation Best-in-class healthcare, dental, and vision plans Flexible PTO 401(k) with company match Paid parental leave Overland AI is an Equal Opportunity Employer. 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. Employment is contingent on the ability to comply with U.S. export control laws. Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact to request an accommodation. 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.