Embedded Computer Vision Engineer
Core
Take YOLO models from PyTorch to production on edge hardware, building and maintaining export and inference integrations across CPU, GPU, NPU, and SoC platforms.
Role type
Senior IC embedded computer vision engineer
Builds
Production-ready YOLO model deployments on edge devices for hardware partners
Domain
Computer vision, embedded systems, edge AI
Deliverable
production ML models
Required skills
PyTorch, ONNX, TensorRT, OpenVINO, INT8 quantization, Linux, Docker, Python, C++, embedded hardware debugging (via careerplan.io/jobs/b45ca999-323e-468e-b3d7-d80475959cb9-embedded-computer-vision-engineer-at-ultralytics-llc)
Preferred skills
Silicon vendor experience, microcontroller deployment, self-hosted CI, open-source contributions
Technologies
PyTorch, ONNX, TensorRT, OpenVINO, NVIDIA Jetson, Raspberry Pi, Docker, Linux
Responsibilities
Build and maintain model export and inference integrations; Optimize models for target hardware latency and memory; Debug accuracy loss from conversion and quantization; Own technical relationships with hardware and silicon partners; Write integration guides and device benchmark documentation; Diagnose issues across models, runtimes, drivers, and devices.
Seniority
Senior, hands-on IC
