Senior Computer Vision & Edge AI Engineer
Core
Senior engineer with full, end-to-end technical ownership of the vision core of an industrial visual inspection product built on the NVIDIA platform, combining unsupervised anomaly detection, defect segmentation, and production-grade GPU inference optimization.
Role type
Senior IC computer vision and edge AI engineer
Builds
Industrial visual inspection product with real-time decisions on the factory floor
Domain
Industrial automation / Manufacturing quality control
Deliverable
production ML models
Required skills
PyTorch, unsupervised anomaly detection (PatchCore, EfficientAD, PaDiM), defect segmentation (DETR-family), modern C++ (C++17/20), CUDA, TensorRT, Triton Inference Server, Linux, Docker, Git, CI/CD, model versioning (MLflow), dataset curation (CVAT)
Preferred skills
Custom TensorRT plugins, GigE Vision cameras, industrial optics and lighting calibration, Anomalib, manufacturing context (automotive), ISA-95, IEC 62443, Azure IoT Edge/ML, publications in vision
Technologies
PyTorch, ONNX, C++17/20, CUDA, cuBLAS, NPP, CV-CUDA, Thrust, TensorRT, Triton, MLflow, CVAT, Nsight Systems, Nsight Compute, Docker, Git, Linux
Responsibilities
Design and lead the evolution of pipeline orchestration toward a high-performance native C++ core; optimize GPU inference for real-time latency budgets; manage complete model lifecycle including monitoring, drift detection, and retraining policies; profile and debug custom kernels for production environments.
Seniority
Senior, hands-on IC
