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Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Senior Software Engineer - Trajectory Optimization

Robotics & Autonomous SystemsUpdated on Nov 15
Full-timeSeattle, WA, USA

About the Job

Requirements

  • A BS or MS in Computer Science, Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or a related field is required.
  • At least 7 years of relevant experience is required.
  • Hands-on experience with model predictive control or trajectory optimization on real systems is required.
  • Production-quality software experience in C++ and/or Python is required.
  • Willingness to support periodic field testing is required.

Responsibilities

  • Design and implement local trajectory optimization, such as model predictive control or model predictive path integral methods, for autonomous ground vehicles across a range of platforms.
  • Build and calibrate vehicle and vehicle–terrain models through system identification, and determine when models are adequate.
  • Apply verification approaches, including formal methods, reachability, constraint satisfaction, and test design, to provide evidence that the optimizer respects safety constraints.
  • Make optimizers run in real time on edge computing hardware, including managing CPU versus GPU tradeoffs.
  • Use the large corpus of off-road driving data for regression and progression testing.
  • Work closely with Planning, Perception, and Controls in a shared codebase, and integrate and adapt quickly to new vehicles and sensor suites.
  • Participate in field tests, demonstrations, and evaluation events, and own work through deployment.

Desired Qualifications

  • A PhD in a relevant field is preferred.
  • Experience with system identification and vehicle dynamics, especially off-road or on low-traction surfaces, is preferred.
  • Experience with safety-critical systems, formal verification, or certification is preferred.
  • GPU programming experience, such as CUDA or similar, and an understanding of CPU versus GPU paradigms are preferred.
  • Experience with autonomous robotic systems such as UAVs, UUVs, or AVs is preferred.

About the Company

Overland AI

Autonomous off-road ground-vehicle autonomy for defense

Overland AI focuses on off-road ground-vehicle autonomy for defense and national security. It develops the OverDrive autonomy stack that lets ground vehicles operate autonomously in challenging, contested, and electronically denied terrain. The system integrates with platforms such as Polaris RZR, Textron Ripsaw M5, and General Dynamics S-MET, and includes OverWatch C2, which lets one operator supervise multiple vehicles. The company has demonstrated the technology as a U.S. Army/DIU OT prototype performer and a DARPA RACER Phase II performer for both heavy tracked and lightweight wheeled vehicles. After a $10 million seed round led by Point72 Ventures, Overland AI raised a $32 million Series A in September 2026 led by 8VC to accelerate deployment of off-road autonomy for defense customers. The goal is to provide proven autonomous capabilities for defense applications, helping militaries operate more effectively in difficult terrain.

Company size
51-200
Company stage
Debt Financing
Total funding
$160.6M
Headquarters
Seattle, WA
Founded
2023

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