← All roles

Manager, Deep Learning – Autonomous Vehicles and Robotics

NVIDIA· Mgmt, Sys SW
Apply on company site
Santa Clara, CA$224k - $356.5kfull-timePosted 6mo ago

About the role

Lead a group of deep learning engineers delivering production-quality inference optimization and model enablement solutions for automotive and robotics on NVIDIA DRIVE and Jetson platforms, coordinating with NVIDIA Research, hardware, compiler teams and automotive partners.

Responsibilities

  • Lead and develop a team of deep learning engineers delivering inference optimization and model enablement solutions for automotive and robotics customers.
  • Drive end-to-end technical engagements with OEM partners, owning scoping, resource allocation, and delivery of production-quality solutions.
  • Set technical direction on how modern architectures (transformers, vision-language models, state space models) are optimized and deployed on GPU and SOC platforms.
  • Partner with compiler, runtime, and hardware teams to connect customer workload patterns with platform capabilities and roadmap priorities.
  • Collaborate with NVIDIA Research and internal deep learning teams to bring brand new techniques into production!
  • Represent NVIDIA externally at partner reviews, conferences, and industry forums.

Qualifications

  • Master's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of overall experience with at least 5 years in deep learning model optimization, inference engineering, or neural network compilation.
  • 4+ years of team leadership experience
  • Proven ability to manage concurrent technical customer engagements and deliver under production constraints.
  • Strong knowledge of current DL architectures and inference optimization toolchains (TensorRT or equivalent).
  • Excellent communication skills with the ability to engage credibly with both OEM engineering leadership and deep technical ICs.

Skills

Required:Deep learning model optimizationTeam leadershipDL architectures

Benefits

  • equity
  • benefits (see https://www.nvidia.com/en-us/benefits/)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA