Minimum Qualifications:

• Bachelor’s degree in Computer Vision, Robotics, or a closely related field.
• 2+ years of experience in software development with a focus on robotics or motion planning.
• Proficient in Python and/or C++.
• Familiarity developing in a linux-based environment.
• Experience developing on and debugging real robotic systems.

Preferred Qualifications:

• Advanced degree (MS/PhD) in Computer Science, Robotics, or a related field.
• Practical experience in one or more of the following areas:
  • Experience with motion planning libraries (e.g. OMPL, MoveIT, DART).
  • Algorithms for spatial reasoning and packing efficiency (e.g. heuristic optimization-based methods).
  • Advanced robotic system design for handling divers object shapes and sizes.
  • Experience developing software for robotic packing tasks with diverse object geometries and weights.
  • Expertise in collision detection and avoidance in constrained environments.
  • Handling deformable or irregular shaped items in packing workflows.
  • GPU-accelerated computation techniques
• Familiarity with optimization techniques, such as:
  • Heuristic-based approaches for packing.
  • Linear programming or integer linear programming for spatial arrangement.
  • Constraint-based optimization for fitting irregular shapes.

About The Job

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 a Software Engineer, Motion Planning, you’ll focus on developing motion planning software tailored to robotic manipulation in packing applications. You will play a key role in delivering scalable solutions for tightly constrained, high-efficiency packing scenarios in real-world deployments.

Responsibilities

• Design, select, apply, and improve motion planning software optimized for packing and spatial arrangement.
• Develop robust solutions for packing diverse object geometries into constrained locations.
• Collaborate with interdisciplinary teams to address challenges related to collision avoidance, packing density, and operational efficiency.
• Debug, test, and verify software on physical robotic systems in dynamic environments.
• Stay informed on the latest advancements in motion planning and packing optimization, incorporating them into practical solutions.
• Participate in code reviews, technical discussions, and team collaboration to ensure high-quality solutions.
• Stay abreast of the latest advancements in perception and robotics, evaluating applicability to our challenges.

6110-2421TP