Technical Lead - Distributed Systems

 

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 seeking a Technical Lead - Distributed Systems to lead its efforts designing and implementing the data fabric that connects robots with each other and their operators. In this role, you will build the technical backbone of multi-robot interactions and human-machine teaming via command-and-control (C2) interfaces. Your goal is to ensure the reliable and secure storage and distribution of mission data and real-time telemetry, enabling collaborative robot behaviors and the coordination of mission-level off-robot mapping and planning.

In this role, you will: 

• Design distributed data solutions that operate seamlessly across both traditional cloud-based server infrastructure and edge network topologies.
• Leverage autonomy to build systems that reliably bridge Denied, Degraded, Intermittent, and Limited (DDIL) networking scenarios.
• Collaborate with cross-functional robotics engineering teams on development of world models and distributed mapping solutions
• Champion the adoption of best practices while pragmatically weighing technical tradeoffs and velocity.
• Mentor and lead teammates in implementing designs according to operational requirements.
• Work with program and product managers to understand customer requirements and architect flexible solutions.