Software Engineer - On-board Autonomy - Lodestarspace

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow) Demonstrated experience with machine learning applied to decision-making or control problems Track record with optimal control, planning, or reinforcement learning in real-time systems Familiarity with multi-agent decision-making or planning under uncertainty

Design and implement on-board decision-making models that recommend and adapt strategies in real time Develop autonomous decision algorithms that integrate information from perception, state estimation, and intent prediction models to execute mission objectives Research and implement ML models for decision making - everything from lit. review, through training, to deployment Implement decision models that adapt dynamically to changing mission context, environmental conditions, and system status Develop frameworks for continuous re-evaluation of active strategies to ensure resilient and adaptive behavior under uncertainty Support real-time autonomy in communications-limited or time-critical scenarios Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow) Demonstrated experience with machine learning applied to decision-making or control problems Track record with optimal control, planning, or reinforcement learning in real-time systems Familiarity with multi-agent decision-making or planning under uncertainty