Software Engineer Co-op - Computer Vision & Deep Learning (Hybrid Onsite)

Charles River Analytics creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. We are a 100% employee-owned company, encouraging participation, innovation, and responsibility from our entire staff. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Are you interested in joining one of Boston's Best Places to Work? If this sounds like you, then we’d love to hear from you!

At Charles River Analytics, our co-ops work on real projects and cutting-edge technology. We believe strongly in promoting within, which is demonstrated by the fact that we not only have hired former interns, but that several of our Senior Scientists and one of our division Vice Presidents began their careers at Charles River as interns! 
 
We are looking for enthusiastic Software Engineering Co-op's for our Sensing, Perception, and Applied Robotics division for the 2023 academic year (Summer/Fall). We are seeking students with an interest in innovative technology with interest in computer vision and deep learning. You will be working in a small agile group, to deliver, test and ship software. You will learn the ropes to being a contributing member of a research and development team. Our co-ops will contribute to real projects and get a sense of what it will be like to be a full-time Software Engineer. 

How you will make a positive impact: 

• Learn how to develop clean, reusable computer vision algorithms to support a wide variety of applications, such as detection/tracking, image pre-processing, and robotics 
• Work with team members (scientists and other engineers) to optimize framework-based (e.g., PyTorch, TensorFlow) deep learning models for fast inference performance 
• Gain technical experience from one-on-one mentorship, feedback on pull requests, collaborative system design sessions, and more
• Learn about program management and work with internal team members to understand project goals and how to translate those goals into technical requirements 

To be successful in this role with us, you'll at least need: 

• Pursuing a bachelor’s or graduate-level degree in Computer Science, Data Science, Electrical Engineering, or related field 
• Experience with a modern programming language such as Python or C++ 
• Experience with at least one of the following: object detection, object tracking, SLAM, segmentation, image denoising, and/or other subfields of computer vision
• Experience with Git version control and Linux commands
• U.S. Citizenship and an interest in working in Defense 

Things that will make you stick out: 

• Experience with deep learning tools such as TensorFlow or PyTorch 
• Experience with OpenCV
• Experience with GPU languages such as CUDA/OpenCL/OpenGL/WebGL
• Experience with containerization tools like Docker