Autonomy Engineer, Ops Research (Senior - Principal)
True Anomaly
- Location
- Denver, CO or Long Beach, CA
- Work model
- On-Site
- Level
- Principal
- Salary
- $180k – $360k/yr
- Posted
- 2h ago
Skills
About this role
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
• Be the offset. We create asymmetric advantages with creativity and ingenuity.
• What would it take? We challenge assumptions to deliver ambitious results.
• It’s the people. Our team is our competitive advantage and we are better together.
YOUR MISSION
As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core autonomy capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and classical optimization. This will involve hands-on development across various areas including fleet scheduling, vehicle autonomy, mission planning, wargaming, threat assessment, and uncooperative RPO capabilities. You are a first principles engineer who takes ownership of the systems you build and delivers results.
RESPONSIBILITIES
• Design, implement, and validate optimization algorithms for fleet-level mission planning, resource allocation, and sequential decision-making under uncertainty
• Contribute to system architecture for large-scale distributed optimization problems, informed by statistical modeling, simulation-based analysis, and operational constraints
• Collaborate with cross-functional teams to formalize stakeholder requirements into mathematical programs and deploy scalable solutions
• Tune and validate optimization models through simulation, hardware-in-the-loop testing, and operational deployment
• Develop production-quality implementations with rigorous documentation and testing <span