Senior DL Engineer — End-to-End Autonomous Driving (Equity)

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits package

Job summary

NVIDIA Corporation in California seeks exceptional engineers to join the autonomous driving team to design, implement, and deploy end-to-end autonomous driving systems on NVIDIA chips in mass-production vehicles.

You will build and deploy LLMs, VLMs, and VLAs, collaborating with teams to deliver production-grade, safety-critical software. Strong Python and C++ skills are required; PhD with 4+ years or MS with 6+ years is preferred.

Qualifications

  • Hands-on experience building LLMs, VLMs, or VLAs from scratch
  • Deep understanding of modern deep learning architectures and optimization techniques
  • Proven record of deploying production-grade ML models for self-driving or robotics
  • Strong programming skills in Python and proficiency with major DL frameworks
  • Familiarity with C++ for model deployment in safety-critical systems
  • PhD with 4+ years, MS with 6+ years in CS/CE or related field

Responsibilities

  • Design and train large-scale models to improve planning and reasoning in driving systems
  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment
  • Explore data generation strategies to improve training data quality
  • Collaborate with cross-functional teams to deploy AI models in production
  • Integrate ML models with vehicle firmware to deliver production-level software

Skills

LLM/VLM/VLA systems
Deep learning architectures
Production ML deployment
Python programming
C++ deployment
Autonomous systems

Education

PhD with 4+ years
MS with 6+ years

Tools

PyTorch
TensorFlow

Job description

NVIDIA Corporation in California seeks exceptional engineers to join the autonomous driving team to design, implement, and deploy end-to-end autonomous driving systems on NVIDIA chips in mass-production vehicles.

You will build and deploy LLMs, VLMs, and VLAs, collaborating with teams to deliver production-grade, safety-critical software. Strong Python and C++ skills are required; PhD with 4+ years or MS with 6+ years is preferred.

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