True Anomaly
Engineering Manager, Autonomy
$205K–$315K
Denver, CO +3 · Manager · Full-time · Posted Aug 27, 2026
- Location
- Denver, CO
Long Beach, CA
Denver, CO
Long Beach, CA - Experience
- 8+ years in autonomous systems, robotics, AI/ML, or aerospace engineering; at least 4 years in people management, leading teams of 4+ engineers.
- Education
- Master's degree in computer science, aerospace engineering, robotics, applied mathematics, operations research, or related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted.
- Visa sponsorship
- Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State.
About the job
Builds and leads an autonomy engineering team developing multi-agent resource allocation and edge-deployed AI capabilities for spacecraft operations.
What you'll do
- Lead, hire, develop, and manage autonomy engineers, including performance reviews and career development.
- Set technical direction and review designs for coordination, planning, optimization, and edge deployment under spacecraft constraints.
- Own the team roadmap, prioritize delivery, and coordinate execution with hardware, trajectory planning, flight software, and program teams.
What they ask for
- 8+ years in autonomous systems, robotics, AI/ML, or aerospace engineering, including at least 4 years of people management leading teams of 4+ engineers.
- Master's degree in a related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted.
- Strong foundation in autonomous systems, such as multi-agent coordination, combinatorial optimization, reinforcement learning, or constrained planning.
- U.S. Citizen and eligible for government security clearance.
Nice to have
- Experience managing geographically distributed or hybrid teams.
- Experience delivering autonomy systems from prototype through operational deployment.
Pay
$205,000 to $315,000 USD base salary
Tools
reinforcement learning, edge AI, mixed-integer programming, constraint satisfaction, graph optimization, Monte Carlo methods, MARL
AI focus
Develops multi-agent resource allocation, spacecraft autonomy, edge-deployed physical AI, and planning capabilities, including continuous learning and neural planning.
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