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

NVIDIA is hiring a Deep Learning Senior Engineer, End-To-End Autonomous Driving in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Python, C and deep learning.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Design and train large-scale generative, imitation, and reinforcement learning models for end-to-end autonomous driving systems.

PythonC

deep-learningllmvlmreinforcement-learningautonomous-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 2+ years, MS (or equivalent experience) with 4+ 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.

#AutonomousVehicles

#deeplearning

How we rate this

Deep Learning Senior Engineer, End-To-End Autonomous Driving at NVIDIA rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Deep Learning Senior Engineer, End-To-End Autonomous Driving is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on August 29, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningLLMVlmReinforcement learningAutonomous DrivingPythonC

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where vlm was part of your work. What did you do?
Tell me about a project where reinforcement learning was part of your work. What did you do?
Tell me about a project where autonomous driving was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Deep learning, LLM, Vlm, Reinforcement learning, and Autonomous Driving. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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