AI / Computer Vision Engineer

Job Description: Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models Stay at the frontier of CV and perception research and translate what matters into shipped product Mentor and technically guide senior scientists and engineers across the team Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges.Requirements: Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field. 10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production.

Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments. Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU).

Experience with transformer-based architectures and vision-language models (VLMs/VLAs). Experience building and deploying real-time or edge ML systems optimized for low-latency inference.

Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale.Benefits: Flexible, employee-led remote model Professional development stipend Comprehensive health and parental leave plans Initial RSU grant with no vesting cliff Ongoing refresh opportunities tied to performance