Autonomy Engineer, Ops Research (Senior - Principal)

at True Anomaly · 251-500 employees

Series D · $650M · Apr 2026

Seniority: Staff Principal
Location: Denver, CO or Long Beach, CA
Posted: 5d ago

pythonc++

Role description

About the company

True Anomaly is a defense technology company that builds autonomous spacecraft, advanced payloads, mission software, and space-based interceptors.

About this role

<div class="content-intro">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 <ul> <li class="ms-outlook-mobile-reference-message">Be the offset. We create asymmetric advantages with creativity and ingenuity.</li> <li class="ms-outlook-mobile-reference-message">What would it take? We challenge assumptions to deliver ambitious results.</li> <li class="ms-outlook-mobile-reference-message">It’s the people. Our team is our competitive advantage and we are better together.</li> </ul></div>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 <ul> <li>Design, implement, and validate optimization algorithms for fleet-level mission planning, resource allocation, and sequential decision-making under uncertainty </li> <li>Contribute to system architecture for large-scale distributed optimization problems, informed by statistical modeling, simulation-based analysis, and operational constraints </li> <li>Collaborate with cross-functional teams to formalize stakeholder requirements into mathematical programs and deploy scalable solutions </li> <li>Tune and validate optimization models through simulation, hardware-in-the-loop testing, and operational deployment </li> <li>Develop production-quality implementations with rigorous documentation and testing  </li> </ul> QUALIFICATIONS <ul> <li>Bachelor's degree in operations research, applied mathematics, computer science, aerospace engineering, electrical engineering, or related quantitative discipline </li> <li>Proficient in C/C++ and Python for implementing optimization solvers and numerical methods </li> <li>Strong expertise in at least one domain: </li> <li>  Adversarial optimization: game theory, Nash equilibria, minimax optimization, sequential games, adversarial search </li> <li>  Mathematical programming: model predictive control, trajectory optimization, dynamic programming, stochastic control, mixed-integer programming, convex optimization </li> <li>  Statistical learning: reinforcement learning, online learning, classification/regression under uncertainty, anomaly detection, predictive modeling </li> <li>  Distributed optimization: fleet coordination, consensus protocols, multi-agent resource allocation, network flow optimization, decentralized control </li> <li>Solid foundation in probability theory, optimization, and stochastic decision processes<span data-ccp-props="{"1342

Autonomy Engineer, Ops Research (Senior - Principal)

Role description

About the company

About this role

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