DL Engineering Manager: Autonomous Vehicles & Robotics

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation’s Deep Learning Engineering team within Tegra Solutions Engineering leads the way in production-quality DL inference optimization for autonomous vehicles and robotics on DRIVE and Jetson platforms.

You will head a team of engineers, driving end-to-end engagements with OEMs, and shaping architecture decisions across compiler, runtime, and hardware to meet production constraints.

Qualifications

• Master's degree or equivalent in CS/EE or related field.
• 8+ years total experience with at least 5 years in DL model optimization, inference engineering, or neural network compilation.
• 4+ years of team leadership; able to manage concurrent technical engagements.
• Strong knowledge of current DL architectures and inference toolchains (TensorRT or equivalent).
• Excellent communication with OEM leadership and deep technical ICs.

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.

Skills

Team leadership

Deep learning optimization

Inference engineering

Neural network compilation

Communication skills

OEM engagement

Education

Master's degree in CS/EE or related

Tools

TensorRT

ML compiler frameworks (TVM, MLIR, XLA, Triton)

Job description

NVIDIA Corporation’s Deep Learning Engineering team within Tegra Solutions Engineering leads the way in production-quality DL inference optimization for autonomous vehicles and robotics on DRIVE and Jetson platforms.

You will head a team of engineers, driving end-to-end engagements with OEMs, and shaping architecture decisions across compiler, runtime, and hardware to meet production constraints.