Deep Learning Engineer, End-to-End Autonomous Driving
at Nvidia
π Santa Clara, United States
USD 184,000-356,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 Algorithms @ 6 Machine Learning @ 3 Planning @ 3 LLM @ 3Details
We are building the next generation of end-to-end autonomous driving systems that run on NVIDIA hardware. The team is moving from designing drivers from scratch toward AI-driven agents that leverage LLMs, VLMs, and VLAs to provide advanced reasoning, planning, and interactivity for autonomous vehicles and robotics.
Responsibilities
- Design and train large-scale models, including generative, imitation, and reinforcement learning approaches to improve planning and reasoning for driving systems.
- Build, pre-train, and fine-tune LLM, VLM, and VLA systems for real-world autonomous driving and robotics deployments.
- Explore and develop novel data generation and collection strategies to increase diversity and quality of training datasets.
- Collaborate with cross-functional teams to deploy AI models into 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 with a passion for autonomous systems.
- Deep understanding of modern deep learning architectures and optimization techniques.
- Proven experience deploying production-grade ML models at scale in self-driving, robotics, or closely related domains.
- 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 PhD (or equivalent experience).
- 8+ years of work experience in autonomous vehicles (AV) or a related field.
Ways to Stand Out
- Experience with LLM/VLM/VLA systems that are 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 a strong track record of taking projects from concept to production deployment.
Compensation & Benefits
- Base salary range:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and additional company benefits. (Link to NVIDIA benefits provided in original posting.)
Location & Application Deadline
- Location: Santa Clara, CA, United States (on-site role by location listing).
- Applications accepted at least until August 23, 2025.
Equal Opportunity
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate based on protected characteristics.
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