• Bachelor’s degree in computer science, robotics, or a similar discipline
• Proficient in C/C++ and Python
• Strong understanding of statistics, optimization, and reasoning under uncertainty
• 4+ years of experience with 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

Desirable

• As a key member of the Applied Algorithms and Autonomy team, you will be responsible for developing and implementing True Anomaly’s autonomy roadmap
• You will work 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
• Build the roadmap for integrating increased autonomy capability into the next generation of Jackal spacecraft and Mosaic ground software
• Collaborate with cross-functional teams to translate requirements and stakeholder expectations into actionable strategies for autonomy implementation
• Drive the autonomy architecture and design, implement, and verify robust algorithms that enable autonomous spacecraft planning, tasking, and decision-making
• Test and verify your algorithms via statistical analysis, software testing, and hardware in the loop simulation