About the role Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, package handling, and logistics operations. Our technology automates complex warehouse tasks such as picking, packing, sorting, and trailer unloading. As part of the Research & Advanced Development group, you will develop new approaches to solving a variety of challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges. Your work will span the full range of this robotics stack, from robot drivers to the multi-robot orchestration system running in Berkshire Grey’s in-house robot proving ground. Responsibilities Contribute to training and adapting of existing machine learning architectures for robot learning and visual scene understanding Contribute to the development and continuous improvement of Berkshire Grey’s robot policy learning data collection application Determine what demonstrations, robot logs, sensor data, annotations, and failure cases are suitable for fine-tuning robot foundation models when applied to new tasks, embodiments, or environments Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges Collaborate with external research partners to find solutions for BG’s problem space Assist with mentorship of more junior engineers or interns Quickly prototype solutions, creating demos for stakeholders and visitors Own solutions from the prototype stage to robust, production-ready features Requirements Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field Experience in software development in robotics or automation roles Strong development expertise in Python and C++ Experience with modern software engineering tooling and workflows including Git and CI/CD Experience in working with ROS or ROS2 Experience in designing and implementing software and algorithms for real robots, including troubleshooting of real robot systems Demonstrated ability to: Work in a fast-paced environment with changing priorities Determine and communicate justification of technical priorities Rapidly prototype and iterate on solutions to challenging problems Work independently on a variety of projects while maintaining focus Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders Nice to have 3+ years of relevant software engineering experience in robotics or automation roles Demonstrated experience with one or multiple of: Computer vision applied to robotic manipulation problems, such as grasp estimation, object detection/segmentation, or anomaly detection Motion planning & optimization for single or bimanual manipulation Imitation learning for manipulation or other real world use cases Experience with: Common deep learning frameworks such as PyTorch Robot simulators (e.g. Isaac Sim, MuJoCo) Robot learning frameworks (e.g. Orbit / Isaac Labs, OpenAI Gym) Robotic sensors, such as RGB cameras and depth sensors Combining model-based and data-driven approaches Docker, cloud computing, or similar applications Parallel/distributed systems and asynchronous/concurrent programming Production robot deployment Agentic coding tools Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying. Travel: Occasional; up to 10%. 6110-2606JL
