Spring 2027 Software Co-op

Berkshire Grey; Bedford (MA); On-site; USD 28,000 - 41,000; Part time

Job summary

Berkshire Grey in Bedford, MA seeks a Software Co-op to join our robotics software team, applying computer vision and machine learning to solve real-world perception challenges in automated systems. This role will collaborate closely with multidisciplinary engineering teams to develop, test, and deploy perception solutions that improve system performance and reliability.

This onsite role will run from January to June 2027 (dates flexible) and provides hands-on experience with cutting-edge

Qualifications

• Actively pursuing a bachelor’s or master’s degree in Computer Engineering, Computer Science, Robotics, or a related field.
• Experience programming in Python and/or C++.
• Experience developing in Linux (Ubuntu) and ROS.
• Familiarity with robotics and computer vision (classical and/or learning-based).
• Experience with computer vision or ML libraries (OpenCV, PyTorch).
• Solid understanding of object-oriented design, data structures, and algorithms.
• Strong analytical, debugging, and problem-solving skills.
• Strong written and verbal communication skills.
• Curious, self-motivated, and eager to learn.

Responsibilities

• Collaborate with software, hardware, and systems engineers to design, test, and validate perception approaches.
• Support evaluation and testing of perception sensors, including cost-down alternatives and performance benchmarking.
• Develop and test computer vision and machine learning models (e.g., depth completion, stereo vision, object detection).
• Explore and implement model-based approaches to improve perception pipeline performance.
• Investigate vision-language models for applications like grasp ranking and SKU identification.
• 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

ROS

OpenCV

PyTorch

Computer Vision

Algorithms

Data Structures

Debugging

Communication

Education

Bachelor's/Master's student in CS/CE/Robotics

Tools

ROS

OpenCV

PyTorch

Linux

Git

Job description

The Software Co-op will work as a member of our robotics software team, applying computer vision and machine learning techniques to solve real-world perception challenges in automated systems. This role will collaborate closely with multidisciplinary engineering teams to develop, test, and deploy perception solutions that improve system performance and reliability. Responsibilities will focus on evaluation, prototyping, and validation of perception algorithms and sensor systems.

This role will be onsite at the Bedford, MA office. This position will run from approximately January to June 2027 (dates flexible).

Functions

• Collaborate with software, hardware, and systems engineers to design, test, and validate perception approaches.
• Support evaluation and testing of perception sensors, including cost-down alternatives and performance benchmarking.
• Develop and test computer vision and machine learning models (e.g., depth completion, stereo vision, object detection).
• Explore and implement model-based approaches to improve perception pipeline performance and reduce system bring-up time.
• Investigate the use of vision-language models (VLMs) for applications such as grasp ranking, SKU identification, 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.

Qualifications

• Actively pursuing a bachelor’s or master’s degree in Computer Engineering, Computer Science, Robotics, or a 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 approaches)
• Experience with computer vision or machine learning libraries (e.g., OpenCV, PyTorch)
• Solid understanding of object-oriented design, data structures, and algorithms
• Strong analytical, debugging, and problem-solving skills
• Strong written and verbal communication skills
• Curious, self-motivated, and eager to learn

COOP-2616