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AI / Computer Vision Engineer
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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.