Robotics Perception Co-op: CV/ML for Vision Systems

berkshiregrey; Bedford (MA); On-site; USD 24,796 - 38,572; Part time

Job summary

Berkshire Grey is seeking a Software Co-op to join our robotics software team in Bedford, MA, focusing on perception challenges with computer vision and machine learning. You will collaborate with engineers to develop, test, and deploy perception solutions for automated systems.

The role emphasizes evaluation, prototyping, and validation of perception algorithms and sensor systems, with the onsite office in Bedford. July–December 2026 dates are flexible.

Qualifications

• Pursuing a bachelor’s or master’s degree in CS/CE/Robotics or related field.
• Experience programming in Python and/or C++.
• Experience developing in Linux (Ubuntu) and familiarity with ROS.
• Familiarity with robotics and computer vision (classical and/or learning-based).
• Experience with OpenCV or PyTorch.

Responsibilities

• Collaborate with software, hardware, and systems engineers to design, test, and validate perception approaches.
• Support evaluation and testing of perception sensors and benchmarks.
• Develop and test computer vision and ML models (e.g., depth completion, stereo vision, object detection).
• Explore and implement model-based approaches to improve perception pipeline performance.
• Investigate vision-language models (VLMs) for applications like grasp ranking and anomaly detection.
• Utilize simulation tools to evaluate and improve perception models and system performance.
• Develop, debug, and deploy software components for robotic systems in a Linux/ROS environment.
• Document test results and present findings to the engineering team.

Skills

Python

C++

Linux (Ubuntu)

ROS

Robotics & CV familiarity

OO design / data structures

Analytical & problem-solving

Communication skills

Education

Bachelor's/Master's in Computer Engineering, Computer Science, Robotics

Tools

OpenCV

PyTorch

ROS

Job description

Berkshire Grey is seeking a Software Co-op to join our robotics software team in Bedford, MA, focusing on perception challenges with computer vision and machine learning. You will collaborate with engineers to develop, test, and deploy perception solutions for automated systems.

The role emphasizes evaluation, prototyping, and validation of perception algorithms and sensor systems, with the onsite office in Bedford. July–December 2026 dates are flexible.