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\nYOUR MISSION\n\nAs 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. \n\nRESPONSIBILITIES\n\n\nBuild the roadmap for integrating increased autonomy capability into the next generation of Jackal spacecraft and Mosaic ground software \n\nCollaborate with cross-functional teams to translate requirements and stakeholder expectations into actionable strategies for autonomy implementation \n\nDrive the autonomy architecture and design, implement, and verify robust algorithms that enable autonomous spacecraft planning, tasking, and decision-making \n\nTest and verify your algorithms via statistical analysis, software testing, and hardware in the loop simulation \n\n\n\n\nQUALIFICATIONS\n\n\nBachelor’s degree in computer science, robotics, or a similar discipline \n\nProficient in C/C++ and Python \n\nStrong understanding of statistics, optimization, and reasoning under uncertainty \n\n4+ years of experience with implementing algorithms for autonomous planning and decision-making deployed in real-world systems \n\nDemonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches \n\nPassion for spaceflight and advancing capabilities related to space domain awareness and space security \n\nTrack record of solving complex problems in autonomy in a fast-moving team \n\n\n\n\nPREFERRED SKILLS AND EXPERIENCE\n\n\nMaster’s or PhD in computer science, robotics, or a similar discipline \n\n2+ years of professional experience writing high-reliability, production C/C++ code \n\nExperience with edge computing and real-time processing constraints \n\nDeep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory \n\n\n\n\nCOMPENSATION\n\n\n* Base Salary: $220,000-$275,000\n\n* Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave \n\n\n\n\nThis position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Remote \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python and Engineer jobs that are similar:\n\n
$55,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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