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 coding skills in Python and C++
Familiarity with Git and CI/CD workflows
Knowledge of ROS or ROS2
Hands-on experience designing and implementing algorithms for real robots
Excellent verbal and written communication skills for diverse audiences
Responsibilities
Train and adapt machine learning architectures for robot learning and visual scene understanding
Enhance and improve robot policy learning data collection applications
Select and evaluate data for fine-tuning robot foundation models
Research advancements in robotics and assess their relevance to current challenges
Collaborate with external partners to innovate solutions
Mentor junior engineers or interns
Prototype solutions rapidly and present demos to stakeholders
Oversee projects from prototype to production-ready status
Benefits
Opportunity to work on cutting-edge robotics technologies
Engagement with real-world problem-solving in robotics
Collaboration with external research partners
Mentorship opportunities within a dynamic team
Occasional travel for team needs
Chance to influence the direction of robotics development
Hands-on experience with a variety of advanced robotics systems
Full Job Description
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
Minimum Qualifications:
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
Preferred Qualifications:
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%.
About Berkshire Grey
Berkshire Grey is a robotics and AI company that develops automation solutions for e-commerce, retail replenishment, and logistics. The company's solutions include robotic picking, mobile robots, and sortation systems that help customers improve efficiency and productivity. Berkshire Grey's technology is used by companies in the retail, e-commerce, and logistics industries to automate their operations and improve their supply chain management. The company was founded in 2013 by Tom Wagner and is headquartered in Massachusetts.
