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Description:
Develop and implement True Anomaly’s autonomy roadmap at the intersection of artificial intelligence, machine learning, and classical optimization
Collaborate with cross-functional teams to enhance autonomy capabilities in spacecraft and ground software
Design and implement robust algorithms for autonomous spacecraft planning, tasking, and decision-making
Test and verify algorithms through statistical analysis, software testing, and hardware in the loop simulation
Requirements:
Bachelor’s degree in computer science, robotics, or a related field
Proficiency in C/C++ and Python
Strong knowledge of statistics, optimization, and reasoning under uncertainty
4+ years of experience implementing algorithms for autonomous planning in real-world systems
Ability to work in a multidisciplinary team and solve complex problems with first principles approaches
Passion for spaceflight and advancing space domain awareness and security
Track record of solving complex autonomy problems in a fast-paced environment
Benefits:
Base Salary: $220,000-$275,000
Equity + Benefits package including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave