GRVTY
Senior Computer Vision and Autonomy Engineering Lead
Cambridge, Massachusetts, United States · Senior
Sponsorship not specifiedDetected 23 days ago
PythonC++Distributed SystemsAlgorithmsCode ReviewDockerKubernetesHelmCI/CDDevOpsMachine LearningTensorFlowPyTorchData EngineeringComputer VisionCybersecuritySystems EngineeringRoboticsElectrical EngineeringSensorsResearchLeadershipCommunicationTime Management
About the role
- 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.
- Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources.
Responsibilities
- Develop robust, maintainable software solutions for applications such as object detection and tracking, SLAM, visual odometry, sensor fusion, and image processing.
- 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.
- Support the growth and scaling of internal technical capabilities to meet emerging program and commercialization needs.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field; a master's degree or equivalent experience is preferred.
- Proficiency in Python and C++ with experience developing both research prototypes and production quality software.
Skills
- Workplace Discrimination is Illegal (eeoc.gov)
Compensation
- Annual Paid Time Off and Paid Holidays
Benefits
- 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.
- Optimize and deploy machine learning models on embedded, edge, and real-time systems using frameworks such as PyTorch or TensorFlow.
- 10 or more years of experience (or a master's degree with 8 or more years) in computer vision, perception, or autonomy system development.
- Demonstrated expertise in several key areas of computer vision, including object detection, tracking, SLAM, visual odometry, segmentation, or related fields.
Visa & Work Authorization
- Citizenship
This listing is sourced directly from GRVTY's careers page and normalized into a canonical job model.