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%.
