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Berkshire Grey in Bedford, UK is seeking a talented Robotics Software Engineer to advance manipulation strategies for real-world systems. You will impact the full stack from drivers to the multi-robot orchestration system in our in-house proving ground.
You will train/adapt ML models for robot learning and scene understanding, develop data collection tools for policy learning, and prototype solutions for rapid stakeholder demos.
Work independently on a variety of projects while maintaining focusWork in a fast-paced environment with changing prioritiesRapidly prototype and iterate on solutions to challenging problemsStrong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholdersDetermine and communicate justification of technical prioritiesProduction robot deploymentCombining model-based and data-driven approachesExperience in working with ROS or ROS2Experience with modern software engineering tooling and workflows including Git and CI/CDDocker, cloud computing, or similar applicationsExperience in software development in robotics or automation rolesStrong development expertise in Python and C++Agentic coding toolsParallel/distributed systems and asynchronous/concurrent programmingExperience in designing and implementing software and algorithms for real robots, including troubleshooting of real robot systemsCommon deep learning frameworks such as PyTorchRobot learning frameworks (e.g. Orbit / Isaac Labs, OpenAI Gym)Robotic sensors, such as RGB cameras and depth sensorsMaster’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related fieldRobot simulators (e.g. Isaac Sim, MuJoCo)3+ years of relevant software engineering experience in robotics or automation rolesDemonstrated experience with one or multiple of:Computer vision applied to robotic manipulation problems, such as grasp estimation, object detection/segmentation, or anomaly detectionMotion planning & optimization for single or bimanual manipulationImitation learning for manipulation or other real world use cases