Deep Learning Senior Engineer, End-to-End Autonomous Driving

Details

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems running on NVIDIA chips in mass-production vehicles. The team is advancing from building a driver from scratch to teaching an intelligent agent to drive, leveraging LLMs, VLMs, and VLAs to enable advanced reasoning, planning, and interactivity in autonomous vehicles and general robotics.

Responsibilities

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

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 experience deploying production-grade machine learning 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 of relevant experience, or an MS degree or equivalent experience with 6+ years of relevant experience, in Computer Science, Computer Engineering, or a related technical field.

Preferred Qualifications

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

Compensation and Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The role is also eligible for equity and benefits.

Applications will be accepted at least until October 10, 2026. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.