Computer Vision Engineer

Sapios is building the future of automated driver evaluation systems. Our flagship invention - the Automated Road Test System (ARTS) - transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven. Our technology also has exciting applications in insurance, healthcare, and robotics - and we're just getting started. Role: Computer Vision Engineer We're looking for a passionate Computer Vision Engineer to join our core engineering team. You'll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally. Location: USA only. What You'll Do Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition). Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR). Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration). Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform. Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines. Publish and present work internally and externally (patents, research collaborations). What We're Looking For Strong background in computer vision, deep learning, or robotics. Hands-on experience with PyTorch, TensorFlow, or ONNX. Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding. Solid programming skills in Python (C++/Swift is a plus). Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs). A problem-solver mindset: comfortable working on ambiguous, high-impact projects. Bonus Points For Experience in autonomous driving, ADAS, or driver monitoring systems. Familiarity with sensor fusion (IMU, GPS, LiDAR + video). Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure). Contributions to open-source projects in CV/ML. Why Join Us? Be part of a once-in-a-generation innovation redefining road safety. Work in a fast-growing startup with traction across the US and Europe. Collaborate with a team of AI, robotics, and medical innovators. Flexible hybrid/remote setup. Competitive salary + equity options. Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. #J-18808-Ljbffr Sapios