Autonomy Engineer

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability.

The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all.

• 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.

As a key member of the Applied Algorithms and Autonomy team, you will be responsible for developing and implementing True Anomaly’s autonomy roadmap and working with a talented cross‑functional team to advance cutting‑edge technology at the intersection of artificial intelligence, machine learning, and classical optimization. This will involve executing across various areas including vehicle autonomy, mission planning, wargaming, threat implication, and uncooperative RPO capabilities.

You are a first‑principles engineer and will have ownership of the future of autonomy at True Anomaly.

• Design and develop advanced AI, optimization, and machine learning infrastructure to support the company's autonomous systems.
• Research, develop, and implement game‑changing AI and optimization algorithms with the reliability and robustness required for space deployment.
• Collaborate with leadership to define and roadmap future autonomy capabilities aligned with company strategic objectives.

• Bachelor’s degree in computer science, robotics, aerospace, or a similar discipline.
• Proficient in C/C++ and Python.
• Strong understanding of statistics, optimization, and reasoning under uncertainty.
• 2+ years of experience implementing algorithms for autonomous planning and decision‑making deployed in real‑world systems.
• Demonstrated ability to work in a multidisciplinary team and solve complex problems with first‑principles approaches.
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security.
• Track record of solving complex problems in autonomy in a fast‑moving team.
• U.S. Citizen and eligible for DoD Secret or TS/SCI clearance.

• Master’s or PhD in computer science, robotics, aerospace, or a similar discipline.
• 2+ years of professional experience writing high‑reliability, production C/C++ code.
• Experience with edge computing and real‑time processing constraints.
• Background in aerospace and orbital mechanics.
• Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory.

• Colorado Base Salary: $100,000 ‑ $190,000
• California Base Salary: $115,000 ‑ $200,000
• Equity + Benefits including health, dental, vision, HRA/HSA options, PTO and paid holidays, 401(k), parental leave.

• Work location—Ideally, candidates are based near Denver, CO or Long Beach, CA.
• Work environment—Temperature, noise level, indoor vs outdoor, and other factors that may affect working conditions.
• Physical demands—Bending, sitting, lifting, driving, and other demands required for the job.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you 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 the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please let us know.