Software Engineer - Perception - Lodestarspace

Bachelor’s or Master’s degree in, AI/ML, Computer Science, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in Machine Learning, robotics, computer vision, or a related field Excellent software engineering skills in C++ and Python Strong DNN/ML background and experience in CV and image processing libraries (OpenCV, CUDA-accelerated vision, PCL) Broad understanding of modern perception systems and their architecture Experience developing and deploying ML models to real-time systems

Scoping architecture for the perception system core to Lodestar’s autonomy software suite Research and adapt novel perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment Design, develop ML algorithms from the ground up, in addition to build on and optimizing our existing models for edge computing Further develop our robust methods for predicting relative pose of dynamic space targets in harsh and unpredictable visual environments Integrate perception models into mission simulation environments and real-time autonomy pipelines Contribute to the design of realistic sensor models and digital twins to improve perception fidelity in mission scenarios Own perception tooling, model training infrastructure, and evaluation frameworks for ongoing development and deployment Collaborate across autonomy, estimation, and mission software teams to ensure perception fidelity, performance, and scalability

Bachelor’s or Master’s degree in, AI/ML, Computer Science, Robotics, a related field, or equivalent experience 2+ years of distinguished industry experience in Machine Learning, robotics, computer vision, or a related field Excellent software engineering skills in C++ and Python Strong DNN/ML background and experience in CV and image processing libraries (OpenCV, CUDA-accelerated vision, PCL) Broad understanding of modern perception systems and their architecture Experience developing and deploying ML models to real-time systems