Senior Architect, Computer Vision
Core
Own model architecture, training, and deployment for FactoryTalk Analytics VisionAI and vision capabilities across the FactoryTalk portfolio for automated quality control in factory environments.
Role type
Senior IC Computer Vision Architect
Builds
Production-ready vision and vision-language models for industrial quality inspection and control
Domain
Industrial Automation / Computer Vision / Machine Learning
Deliverable
production ML models
Required skills
Computer vision model architecture, model training, inference deployment to edge hardware, dataset strategy, annotation pipelines, model fine-tuning, quantization, MLOps practices, industrial control system constraints, vision-language models
Preferred skills
PyTorch or TensorFlow, NVIDIA Jetson/TensorRT, synthetic data generation, digital twin environments, MLOps tooling, published research in computer vision
Technologies
PyTorch, TensorFlow, NVIDIA Jetson, TensorRT
Responsibilities
Define model architecture and evaluation approach for vision models; mature practices for scaling vision work across the portfolio; extend evaluation suites for model readiness; coach engineers on vision capabilities; partner on portfolio roadmap regarding cost/latency/accuracy tradeoffs; design for OT and industrial control system constraints; represent industrial vision perspective in customer engagements
Seniority
Senior, hands-on IC
