Autonomy Software Engineer: State Estimation & Forecasting

Job Description

Lead the development of state estimation and prediction models for autonomous spacecraft operations. Research and implement algorithms combining probabilistic estimation with machine learning to track targets and forecast trajectories.

Requirements: Requires a degree in Computer Science, Aerospace Engineering, or a related field with at least 2 years of industry experience. Proficiency in C++, Python, and deep learning frameworks for sequence modelling is essential.

Key Skills: C++, Python, Probabilistic State Estimation, Kalman Filters, Particle Filters, Bayesian Inference, PyTorch, TensorFlow, Sequence Modelling, Trajectory Modelling, Orbital Mechanics, Sensor Fusion, CUDA, TensorRT, Linux, CI/CD