AI Engineer — Vision AI & Edge Intelligence
Core
Develop and deploy computer vision models (object detection, segmentation, tracking) and multimodal agents for real-time edge inference in commercial applications.
Role type
Senior IC Vision AI Engineer (Edge Intelligence)
Builds
Low-latency AI inference pipelines and Vision Agent capabilities for live video streams
Domain
Computer Vision, Edge AI, Multimodal Large Language Models (MLLMs), Physical AI
Deliverable
production ML models
Required skills
Computer vision, deep learning, PyTorch, TensorFlow, object detection, segmentation, tracking, video analytics, MLLMs, VLMs, ONNX, TensorRT, NVIDIA Metropolis, DeepStream, Python, C++
Preferred skills
Multimodal learning, Vision Agent concepts (video QA, summarization, grounding), NVIDIA Isaac/Cosmos/Omniverse, Docker, Kubernetes, real-time video processing, robotics, telecom systems
Technologies
TensorRT, ONNX Runtime, NVIDIA Metropolis, DeepStream, CUDA, Docker, Kubernetes
Responsibilities
Develop computer vision models for object detection, segmentation, tracking, and scene understanding; Implement and optimize Vision AI algorithms for edge deployment; Fine-tune vision-language models (VLMs) and multimodal LLMs; Build Vision Agent capabilities combining perception and natural-language interaction; Build and optimize low-latency AI inference pipelines; Support end-to-end AI deployment and production rollout
Seniority
Senior, hands-on IC
