
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 harsh, GPS-denied environments to increase ground power and save lives. Their technology suite includes the OverDrive autonomy stack for off-road tactical maneuvering, OverWatch C2 for single-operator control of multiple autonomous vehicles, and SPARK modular hardware for integrating autonomy into existing platforms. Their products are validated by DARPA and used by the U.S. Army, Marine Corps, and Special Operations Command, demonstrating significant traction in military deployments and innovation leadership in autonomous ground systems.

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 harsh, GPS-denied environments to increase ground power and save lives. Their technology suite includes the OverDrive autonomy stack for off-road tactical maneuvering, OverWatch C2 for single-operator control of multiple autonomous vehicles, and SPARK modular hardware for integrating autonomy into existing platforms. Their products are validated by DARPA and used by the U.S. Army, Marine Corps, and Special Operations Command, demonstrating significant traction in military deployments and innovation leadership in autonomous ground systems.
Founded: 2022
Headquarters: Seattle, Washington
Market: Defense / autonomous ground systems
Core product: OverDrive autonomy stack; OverWatch C2
Notable customers/validation: U.S. Army, Marine Corps, Special Operations; DARPA programs
Known funding: $10M seed (May 2024); $32M Series A (Jan 13, 2025); $100M round (Feb 3, 2026) reported
| Company |
|---|
Autonomous ground navigation and vehicle autonomy for defense and national security in GPS-denied and off-road environments.
2022
Defense and Space Manufacturing
$10M
Participation from Shasta Ventures, Ascend, Pioneer Square Labs, Voyager Capital, Cubit Capital.
$32M
Participation from Point72 Ventures, Overmatch Ventures, Shasta Ventures, Ascend, Osage University Partners, The CAPROCK Group.
$100M
Announced round reported to scale operations with U.S. armed forces; included a $20M venture debt facility from TriplePoint Capital.
“Multiple institutional venture investors including 8VC, Point72 Ventures, Shasta Ventures, Ascend, Osage University Partners, Overmatch Ventures”
About Overland AI Location: Seattle, WA (Hybrid — 3 days onsite)
Travel: Occasional in-state travel; 1–2 weeks out-of-state per year
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 looking for an experienced Infrastructure Engineer to help design, build, and operate the systems that power our AI model training, experiment management, and robotic deployments. This role spans on-premise environments, cloud infrastructure, networking, and automation. You'll work hands-on with servers, storage, firewalls, wireless equipment, and high-performance compute resources—while also developing scalable tooling that improves reliability, observability, and developer velocity.
The ideal candidate has 5+ years of experience in infrastructure engineering, DevOps, SRE, or systems engineering, with deep knowledge of on-prem environments, AWS deployments at scale, and modern infrastructure-as-code and automation practices.
What You'll Do
Required Qualifications
Nice to Have
Other Requirements
Benefits