Senior Computer Vision and Autonomy Engineering Lead

What You'll be Owning

Provide technical leadership in the design, development, and integration of our existing computer vision and autonomy algorithms and software systems.

Lead and mentor a team of computer vision, perception, and autonomy engineers; support hiring, onboarding, performance feedback, time management, and professional development.

Develop robust, maintainable software solutions for applications such as object detection and tracking, SLAM, visual odometry, sensor fusion, and image processing.

Optimize and deploy machine learning models on embedded, edge, and real-time systems using frameworks such as PyTorch or TensorFlow.

Oversee system architecture, technical reviews, code quality, and adherence to engineering best practices.

Collaborate with scientists, engineers, and operational subject matter experts to define technical requirements and translate research concepts into implementable solutions serving the ground, sea, air and space domains.

Participate in customer engagements, including technical briefings, requirements discussions, field testing, and integration activities.

Contribute to proposal development, technical documentation, reports, and transition planning for applied research and product development programs.

Support the growth and scaling of internal technical capabilities to meet emerging program and commercialization needs.

What You Must Have

• 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.

What Would be Nice to Have

• 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.