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# Software Engineer, R&D

- **Company:** Berkshire Grey
- **Location:** Bedford, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Cloud Computing, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Motion Planning, Object Detection, Software Engineering, Pytorch, Deep Learning, Git, Information Technology, Data Analytics, Docker
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/bb0dedcb-196a-43ce-8e28-e75bf2a959bb

## About the Role

* 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:
o Computer vision applied to robotic manipulation problems, such as grasp estimation, object detection/segmentation, or anomaly detection
o Motion planning & optimization for single or bimanual manipulation
o Imitation learning for manipulation or other real world use cases

 + Experience with:
o Common deep learning frameworks such as PyTorch
o Robot simulators (e.g. Isaac Sim, MuJoCo)
o Robot learning frameworks (e.g. Orbit / Isaac Labs, OpenAI Gym)
o Robotic sensors, such as RGB cameras and depth sensors
o Combining model-based and data-driven approaches
o Docker, cloud computing, or similar applications
o Parallel/distributed systems and asynchronoconcurrent programming
o Production robot deployment
o Agentic coding tools
Possessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.

## Description

* 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


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