Deep Learning Senior Engineer, End-To-End Autonomous Driving
$184k - $357k • US, CA, Santa Clara
Posted 13d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
LLM Engineer
About the job
NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.
Responsibilities
- Design and train large-scale models, including generative, imitation, and reinforcement learning, to improve driving system planning and reasoning.
- Build, pre-train, and fine-tune LLM/VLM/VLA systems for autonomous driving and robotics applications.
- Explore novel data generation and collection strategies to enhance training dataset diversity and quality.
- Collaborate with cross-functional teams to deploy AI models in production, ensuring performance, safety, and reliability.
- Integrate machine learning models directly with vehicle firmware for 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 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 of experience, or MS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Benefits
- Equity
- Benefits