Autonomy Engineer

Responsibilities

• Design, implement, and test algorithms for autonomous mission planning, tasking, and decision-making
• Contribute to autonomy architecture discussions and implement solutions informed by statistical analysis and hardware-in-the-loop simulation
• Collaborate with cross-functional teams to translate requirements 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 to support core autonomy capabilities

Requirements

• Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, or a similar discipline
• Proficiency in C/C++ and Python
• 4+ years of experience implementing algorithms for autonomous planning and decision-making in real-world systems
• Strong foundation in statistics, optimization, and decision-making under uncertainty
• U.S. Person status (ITAR compliance)

Preferred Qualifications

• Master's or PhD in a relevant technical field
• Experience writing high-reliability, production-grade C/C++ code
• Experience with edge computing, real-time processing, or space systems (orbital mechanics, GNC)
• Familiarity with probabilistic reasoning, state estimation (EKF/UKF, particle filters), and planning under uncertainty
• Background in the verification and validation of autonomous systems for operational deployment

Benefits

• Competitive base salary ($180,000 - $360,000 depending on experience)
• Equity package
• Comprehensive health, dental, and vision insurance
• HRA/HSA options
• Paid Time Off (PTO) and paid holidays
• 401K plan
• Parental Leave

About the Company

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.