Senior Software Engineer - Computer Vision and Autonomy Lead

Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field; a master’s degree or equivalent experience is preferred.

10 or more years of experience (or a master’s degree with 8 or more years) in computer vision, perception, or autonomy system development.

Proficiency in Python and C++ with experience developing both research prototypes and production quality software.

Experience working with robotics frameworks such as ROS2 and simulation environments.

Demonstrated expertise in several key areas of computer vision, including object detection, tracking, SLAM, visual odometry, segmentation, or related fields.

Experience conducting laboratory and field testing of robotic or autonomous systems.

Familiarity with networking, system integration, and distributed system debugging.

Strong understanding of software development best practices, including testing, version control, and code review processes.

Demonstrated interest in technical team leadership and the ability to support the development of engineering talent.

Ability and willingness to travel for customer meetings, integration events, and field exercises.

U.S. Citizenship.

Ability to obtain and maintain a U.S. Government Security Clearance.

Ability to work on a hybrid schedule with at least 60% in-office presence at our Cambridge headquarters.

Experience with systems engineering, requirements analysis, and system level design.

Experience with CI/CD pipelines or modern DevOps/DevSecOps methodologies.

Experience with containerization (Docker) and orchestration (Kubernetes, Helm)

Experience integrating complex software systems into larger systems (APIs, communication).

Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA.

Experience with data engineering practices and management of large datasets.

Experience preparing technical deliverables such as specifications, reports, or contributions to academic publications.