Manager, Deep Learning – Autonomous Vehicles and Robotics
Core
Lead a deep learning engineering team to deliver production-quality inference optimization and model enablement solutions for autonomous vehicles and robotics on NVIDIA edge hardware.
Role type
Manager, Deep Learning Engineering (Autonomous Vehicles & Robotics)
Builds
Inference optimization solutions and model enablement for automotive OEMs and robotics partners on NVIDIA DRIVE and Jetson platforms.
Domain
Autonomous driving, robotics, edge AI, GPU/SOC deployment
Deliverable
production ML models
Required skills
Deep learning model optimization, neural network compilation, team leadership, technical engagement with OEMs, knowledge of modern DL architectures (transformers, VLMs, state space models), inference optimization toolchains (TensorRT)
Preferred skills
Autonomous vehicle or robotics domain leadership, training pipeline optimization, ML compiler frameworks (TVM, MLIR, XLA, Triton), automotive safety standards (ISO 26262, SOTIF), Agentic AI frameworks (LangChain, LangGraph, MCP)
Responsibilities
Lead and develop a team of deep learning engineers; Drive end-to-end technical engagements with OEM partners; Set technical direction for optimizing modern architectures on GPU/SOC platforms; Partner with compiler, runtime, and hardware teams; Collaborate with NVIDIA Research to bring new techniques to production; Represent NVIDIA externally at partner reviews and conferences.
Seniority
Manager, strategic technical leadership