Drimva

Anduril

Chief Engineer, Autonomous Flight

$220K–$330K

Costa Mesa, California, United States +3 · Full-time · Posted Jul 29, 2026

Location
Costa Mesa, California, United States
Seattle, Washington, United States
Washington, District of Columbia, United States
Costa Mesa, California, United States
Education
BS, MS, or PhD in Robotics, Aerospace, ME, EE, CS, or equivalent.

About the job

Own the technical architecture and system-level design of autonomy software, command and control, and modular payloads for autonomous platforms, guiding teams from design through deployment.

What you'll do

  • Lead systems engineering, requirements decomposition, and technical architecture for software-heavy robotics systems.
  • Guide engineering teams through design, implementation, deployment, and hardware/software integration and testing.
  • Translate customer mission needs into technical milestones and make technical trade-offs across programs.

What they ask for

  • Track record directing technical architecture and guiding individual contributors as a lead engineer.
  • Background developing and fielding software-heavy robotics, autonomous systems, or aerospace products.
  • Strong hardware/software integration skills, including robotics software architectures and tactical mission systems.
  • Experience with autonomous systems, mission-critical Department of Defense systems, or tactical edge technologies; able to travel up to 25% and eligible to obtain and maintain an active U.S. Secret clearance.

Nice to have

  • Advanced knowledge in Motion Planning, Perception, Command & Control, SLAM, task allocation, or tactical networking.
  • Work history involving multi-domain unmanned systems or understanding of edge-AI/ML deployment on autonomous physical systems.

Pay

$220,000 — $330,000 USD (base salary)

Tools

Motion Planning, Perception, Command & Control, SLAM, task allocation, tactical networking, edge-AI/ML

AI focus

The role develops and integrates autonomy algorithms for autonomous platforms; preferred experience includes edge-AI/ML deployment on physical systems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)