Senior Software Engineer, Robotic Packing/Manipulation

Berkshire Grey•Bedford, MA

About The Position

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.

Requirements

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
Demonstrated ability to: Determine and communicate justification of technical priorities
Demonstrated ability to: Rapidly prototype and iterate on solutions to challenging problems
Demonstrated ability to: Work independently on a variety of projects while maintaining focus
Demonstrated ability to: Work in a fast-paced environment with changing priorities
Demonstrated ability to: 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

Nice To Haves

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
Experience with: Real and simulated data capture
Experience with: Sim-to-real for robotic manipulation
Experience with: Real-time perception-based control
Experience with: Incorporating tactile sensor information into manipulation behaviors
Experience with: Robot simulators (e.g. OpenRAVE, Isaac Sim or MuJoCo)
Experience with: Robot learning frameworks (e.g. Isaac-Gym, Orbit / Isaac Labs)
Experience with: Combining model-based and data-driven approaches
Experience with: Docker, cloud computing, or similar applications
Experience with: Experiment tracking and dataset management (e.g. Weights & Biases)
Experience with: Database systems as data source, such as MongoDB
Experience with: Parallel/distributed systems and asynchronous/concurrent programming
Knowledge of LLM usage within robotics context

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.