Senior Software Engineer, R&D

About The Job

Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, package handling, and logistics operations. Our technology automates complex warehouse tasks such as picking, packing, sorting, and trailer unloading.

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%.

6110-2606JL