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

At NVIDIA, we are 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. Our strategy has

evolved from AI 1.0 — building a driver from scratch — to AI 2.0 — teaching an

intelligent agent to drive. This next phase leverages LLMs, VLMs, and VLAs to

bring unprecedented reasoning, planning capabilities, and interactivity with the

driving system to autonomous vehicles and general robotics. Let’s build the

future of autonomy—together! What You’ll Be Doing: 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. What We Need

to See: 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. PhD with 4+

years, MS (or equivalent experience) with 6+ years of relevant experience in

Computer Science, Computer Engineering, or a related technical field. Ways to

Stand Out from the Crowd: 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. Your base salary will be determined based on your

location, experience, and the pay of employees in similar positions. The base

salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500

USD for Level 5. You will also be eligible for equity and benefits. Applications

for this job will be accepted at least until March 26, 2026. This posting is for

an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is

committed to fostering a diverse work environment and proud to be an equal

opportunity employer. As we highly value diversity in our current and future

employees, we do not discriminate (including in our hiring and promotion

practices) on the basis of race, religion, color, national origin, gender,

gender expression, sexual orientation, age, marital status, veteran status,

disability status or any other characteristic protected by law. #deeplearning

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and digital twins is transforming the world's largest industries and profoundly

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