Senior DL Engineer: End-to-End Autonomous Driving

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles.

You will design and train large-scale models, deploy production ML systems, and collaborate with cross-functional teams to ensure safety and reliability in real-world applications, including firmware integration.

Qualifications

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or proven track record as a top-tier coder passionate about autonomous systems.
• Deep understanding of modern deep learning architectures and optimization techniques.
• Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
• Strong programming skills in Python and proficiency with major deep learning frameworks.
• Familiarity with C++ for model deployment and integration in safety-critical systems.
• PhD with 4+ years, MS with 6+ years of related experience in CS/CE or a related technical field.

Responsibilities

• Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.
• Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.
• Explore novel data generation and collection strategies to improve diversity and quality of training datasets.
• Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.
• Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software.

Skills

LLM/VLM/VLA systems

Deep learning architectures

Python programming

C++ deployment

Production ML deployment

Education

PhD (4+ years)

MS or equivalent (6+ years)

Job description

NVIDIA is seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles.

You will design and train large-scale models, deploy production ML systems, and collaborate with cross-functional teams to ensure safety and reliability in real-world applications, including firmware integration.