Senior AI Engineer — End-to-End Autonomous Driving

NVIDIA; California; On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking exceptional engineers for its autonomous driving team to design, implement, and deploy end-to-end autonomous driving systems on NVIDIA chips in mass-production vehicles.

You will design and train large-scale models, build systems for real-world deployment, and collaborate with cross-functional teams to ensure safety, performance, and reliability in production environments.

Qualifications

• Hands-on experience building LLMs, VLMs, or VLAs from scratch.
• Deep understanding of modern deep learning architectures and optimization techniques.
• Proven record 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 (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, 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

Python programming

C++ deployment

Deep learning

Production ML deployment

Education

PhD + 4+ years

MS + 6+ years

Job description

NVIDIA is seeking exceptional engineers for its autonomous driving team to design, implement, and deploy end-to-end autonomous driving systems on NVIDIA chips in mass-production vehicles.

You will design and train large-scale models, build systems for real-world deployment, and collaborate with cross-functional teams to ensure safety, performance, and reliability in production environments.