Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

About the role

NVIDIA is seeking exceptional engineers to join their autonomous driving team. The team designs, implements, and deploys cutting-edge end-to-end autonomous driving systems using NVIDIA chips in mass-production vehicles.

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.

Requirements

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a 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.
• Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related field.

Qualifications

• Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.
• Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.
• Deep understanding of behavior and motion planning in real-world AV applications.
• Experience building and training large-scale datasets and models.
• Proven ability to optimize algorithms for real-time performance in resource-constrained environments and strong track record of taking projects from concept to production deployment.

Skills

• Python programming
• Major deep learning frameworks
• C++ for model deployment and integration in safety-critical systems

Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

Schedule

Applications for this job will be accepted at least until March 23, 2026.