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
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