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Nvidia Drive Av Jobs (NOW HIRING)

Nvidia

OR · On-site

$104K - $137K/yr

We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion ... Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.

Nvidia

OR · On-site

$125K - $172K/yr

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design ... drive. This next phase leveragesLLMs, VLMs, and VLAsto bring unprecedented reasoning, planning ...

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How much do nvidia drive av jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for nvidia drive av in the United States is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an NVIDIA DRIVE AV Engineer, and why are they important?

To thrive as an NVIDIA DRIVE AV Engineer, you need a strong background in computer science, robotics, or electrical engineering, with expertise in autonomous vehicle systems and algorithms. Familiarity with NVIDIA DRIVE software stack, deep learning frameworks (such as TensorFlow or PyTorch), and programming languages like C++ and Python is crucial. Excellent problem-solving abilities, teamwork, and effective communication skills distinguish top performers in this role. These skills enable successful development, integration, and optimization of autonomous driving solutions in a fast-evolving industry.

What are some common challenges faced by professionals working with Nvidia Drive AV, and how can they be addressed?

Professionals working with Nvidia Drive AV, an autonomous vehicle platform, often face challenges such as integrating complex sensor data, ensuring algorithm reliability in diverse driving conditions, and keeping up with frequent software updates. Addressing these challenges requires strong collaboration with cross-functional teams including software engineers, hardware specialists, and data scientists. Staying up-to-date through continual learning, leveraging Nvidia’s developer resources, and participating in regular code reviews are effective ways to overcome these hurdles and contribute to the safe deployment of autonomous vehicles.

What is Nvidia Drive AV?

Nvidia Drive AV is an end-to-end autonomous vehicle software platform developed by Nvidia. It provides a comprehensive suite of AI-based technologies for perception, mapping, planning, and control, designed to enable self-driving capabilities in cars. By leveraging deep learning, sensor fusion, and diverse data sources, Nvidia Drive AV helps automakers and developers build, test, and deploy safe and efficient autonomous driving systems. The platform integrates with Nvidia's hardware, such as DRIVE AGX, to deliver high-performance computing required for real-time decision-making on the road.

What is the difference between Nvidia Drive Av vs Nvidia Drive Orin?

FeatureNvidia Drive AvNvidia Drive Orin
Primary UseAutonomous vehicle development and testingAdvanced autonomous driving platform and AI computing
Required CredentialsEngineering degree, experience in automotive or AIEngineering degree, expertise in AI, embedded systems
Work EnvironmentAutomotive R&D labs, testing facilitiesEmbedded systems development, automotive industry
Industry UsageAutonomous vehicle testing and validationProduction autonomous vehicle platforms

While Nvidia Drive Av focuses on autonomous vehicle testing and validation, Nvidia Drive Orin is a more advanced platform used for deploying AI-powered autonomous driving systems in production vehicles. Both roles require similar credentials and work environments but differ in their application stages within the autonomous vehicle development lifecycle.

Technical Marketing Engineer, World Models - AV Physical AI

Technical Marketing Engineer, World Models - AV Physical AI

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 6 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a hardworking and technically skilled engineer to join our Physical AI Technical Marketing team, focusing on building world class technical materials for world models within various industries. In this role, you will promote adoption and understanding of NVIDIA's advanced AI models dedicated to Autonomous Vehicles. You will do this through technical marketing initiatives, educational programs, and developer engagement at global events.
What you'll be doing:
  • Design and post-train foundation models (LLMs, VLMs, VLAs and DiTs) for real world applications across industries with a bias towards AV.
  • Develop and Deliver Technical Content: Create and present high-impact, performance benchmark based technical marketing materials to drive enterprise and developer audiences towards adoption of NVIDIA platforms.
  • Core Content Development: Build whitepapers, technical guides and blogs, videos, demos and solution briefs driving through NVIDIA sales and marketing teams to our AV partners and customers.
  • Work with teams in research, software, and products to bring world models from idea to deployment.
  • Serve as a domain expert in the area of World Models for autonomous vehicles. Capture feedback and respond to technical queries. Demonstrate development and integration workflows and examples.
  • Enable Sales & Partners: Use training and enablement materials for developer relations teams, partners, and customers.
  • Prototype and iterate rapidly on experiments across powerful AI domains, including agentic systems, reinforcement learning, reasoning, and video generation in partnership with customer / partner teams.
  • Advance Thought Leadership: Support industry-firsts, developer success stories, analyst briefings, and speaking engagements.

What we need to see:
  • A BS Degree in Computer Science or Engineering related field or equivalent experience accompanied by comparable experience in a technical marketing role
  • 8+ years of experience in technical marketing, developer enablement, or a related technical field with a focus on foundation models in AV use and evangelism.
  • Skilled at translating sophisticated AI concepts into clear, engaging messaging for both technical and business audiences.
  • Strong communication and collaborator leadership skills in matrixed, multi-functional environments.
  • Comfortable with Python and tools like Hugging Face, PyTorch, Docker, or similar for model evaluation, inference, and code-level artifact review (config files, training checkpoints).
  • Develop and improve technical content for corporate and software developer communities previously.
  • Experience running generative AV AI models - LLMs, diffusion models, or VLMs / VLAs - along with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks.

Ways to Stand Out From The Crowd:
  • Hands-on experience developing and delivering workshops or certification programs at industry events.
  • Proficiency in software development standard methodologies, such as integrating AI agents into workflows.
  • Deep understanding of foundation models and GPU-accelerated deployments.
  • Strong understanding of AI licensing, model/data provenance, and traceability systems is a plus.
  • Technical proficiency with NVIDIA technologies (Omniverse, Cosmos, CUDA, TensorRT, Triton Inference Server, etc.).

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 3, 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.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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