Senior Autonomy Engineer
About The Position
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. OUR MISSION 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. 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 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.
Requirements
- Bachelor's degree in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline
- Proficient in C/C++ and Python
- Strong understanding of at least one of technologies within the four pillars: Adversarial planning: classical game theory, self-play, counterfactual regret minimization, Monte Carlo tree search, behavior trees, etc.
- Classical optimization: MPC, trajectory optimization, dynamic programming, stochastic control, mixed integer programming, quadratic programming, etc.
- ML/AI: reinforcement learning, imitation learning, transformer architectures, anomaly detection, classification/regression, behavior modeling, etc.
- Multi-Agent Control: multi-agent coordination, consensus algorithms, networked control systems, communication-aware planning, fault detection & isolation
- Solid foundation in statistics, optimization, and decision-making under uncertainty
- 4+ years of experience implementing algorithms to support 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
- 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.
Nice To Haves
- Master's or PhD in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline
- Experience writing high-reliability, production C/C++ code
- Experience with edge computing and real-time processing constraints
- Experience with space systems (orbital mechanics, GNC, spacecraft operations)
- Familiarity with probabilistic reasoning, state estimation (EKF/UKF, particle filters), and planning under uncertainty
- Background in verification/validation of autonomous systems for certification or operational deployment
- A understanding of how game theory, optimization and AI can be fused together.
Responsibilities
- Design, implement, and test algorithms that enable autonomous mission planning, tasking, and decision-making
- Contribute to autonomy architecture discussions and implement robust solutions informed by statistical analysis, software testing, and hardware-in-the-loop simulation
- Collaborate with cross-functional teams to translate requirements and stakeholder expectations into production-ready autonomy solutions
- Debug and tune autonomy systems through integration, testing, and deployment in real-world operational environments
- Write clean, well-documented, and testable code in support of autonomy capabilities
Benefits
- Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
- Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
11-50 employees
