Senior Manager, AI Deployment
Core
Lead strategy and execution of model performance and on-vehicle inference for autonomous driving systems, optimizing latency, memory, and GPU utilization across simulation and hardware environments.
Role type
Senior Manager, AI Deployment (Hands-on IC with people leadership)
Builds
Production-ready AI inference systems for autonomous vehicles
Domain
Autonomous driving, Machine Learning Systems, GPU Computing
Deliverable
production ML models
Required skills
Model optimization, GPU systems, Inference runtimes, Performance profiling, Systems thinking, Technical leadership
Preferred skills
Real-time ML for autonomous driving, NVIDIA Nsight tools, Reduced-precision model deployment, Transformer/vision/lidar workload optimization
Technologies
PyTorch, CUDA, C++, Python, TensorRT, GPU profiling tools
Responsibilities
Own strategy and roadmap for AI model performance; Establish performance budgets for latency, throughput, and memory; Lead investigations into performance bottlenecks; Build performance dashboards and regression detection; Partner with model development and vehicle integration teams; Develop technical leaders and succession plans
Seniority
Senior Manager, hands-on IC with people leadership
