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Job description
About The Job
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, and sort operations.
As part of the Core software team, you will develop learning-based approaches that help robots reason about 3D environments, anticipate the outcomes of physical interactions, and make effective decisions over sequences of actions. The work combines perception, planning, and manipulation, with an emphasis on reliable performance under uncertainty and real-world constraints. You'll explore both data-driven and model-based approaches, evaluate them in simulation, and bring promising methods onto physical robotic systems.
Your work will contribute to enhancing the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value to be delivered to our customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.
Responsibilities
Develop learning methods for spatial reasoning, sequential decision-making, and robotic manipulation.
Combine learned policies and predictive models with planning and optimization to solve physically constrained tasks.
Design training and evaluation workflows that measure task success, robustness, and execution efficiency.
Quickly prototype solutions, creating demos for stakeholders and visitors.
Serve as subject matter for transitioning prototypes to product teams.
Identify high impact areas for improvements of our robotic systems to solve real problems.
Utilize and extend simulation software environments to develop and test manipulation behaviors.
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.
Communicate technical priorities and status.
Minimum Qualifications
Master's degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
4+ years of experience in software development with a focus on robotics manipulation or related areas.
Strong development expertise in Python and C++
Experience with major deep learning frameworks such as PyTorch
Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn
Experience in working with ROS or ROS2
Demonstrated experience training and adapting of existing machine learning architectures for robot learning, to solve tasks in domains such as manipulation, locomotion, or navigation
Demonstrated ability to:
Develop on and troubleshoot real robotic systems
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
Work in a fast-paced environment with changing priorities
Mentor junior engineers
Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
Provide technical leadership on key projects
Preferred Qualifications
PhD in Robotics, Machine Learning, Computer Science or a closely related field.
Demonstrated technical proficiency in solving spatial reasoning and sequential decision-making in robotics.
Experience with:
Applying machine learning to hardware interacting with the real world
Real and simulated data capture
Sim-to-real for robotic manipulation
Real-time perception-based control
Incorporating tactile sensor information into manipulation behaviors
Robot simulators (e.g. OpenRAVE, Isaac Sim or MuJoCo)
Robot learning frameworks (e.g. Isaac-Gym, Orbit / Isaac Labs)
Combining model-based and data-driven approaches
Docker, cloud computing, or similar applications
Experiment tracking and dataset management (e.g. Weights & Biases)
Database systems as data source, such as MongoDB
Parallel/distributed systems and asynchronous/concurrent programming
Knowledge of LLM usage within robotics context
Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.
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Worksite address
bedford, MA, 01730, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.