Within NVIDIA's Edge AI, Metropolis, and Blueprints (EMB), this team is the execution engine behind NVIDIA’s Vision AI strategy—owning the full lifecycle from model onboarding to production deployment. We transform foundation models into real-time, GPU-accelerated video intelligence systems using DeepStream and VSS. Our focus includes scaling multimodal reasoning and enabling agentic development workflows. We follow through between production data and model improvement. This work positions NVIDIA as the default platform for Physical AI.


NVIDIA is looking for a proven Director of Systems Engineering who is hands-on with deep learning and comfortable reading/modeling code, not just running it. You bring strong intuition for modern architectures (e.g., transformers, diffusion, and VLMs); deep experience tuning on NVIDIA GPUs (kernels, memory, and latency/efficiency trade-offs)/SOCs; and a consistent track record of delivering robust, low-latency inference at scale. You have...