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Director Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior Architect, Camera ISP

Santa Clara, CA

Contribute to the build and development of world-class ISP to meet the ambitious performance and quality standards of NVIDIA's autonomous driving and robotics applications * Apply your expertise to ...

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Director Nvidia Autonomous Driving information

What does a director Nvidia Autonomous Driving do?

A Director of Nvidia Autonomous Driving leads teams that develop and implement advanced autonomous vehicle technologies using Nvidia's hardware and software platforms. They oversee strategic planning, product development, and collaborations with automotive partners to bring self-driving solutions to market. This role requires a strong background in artificial intelligence, automotive systems, and leadership to ensure the successful deployment of safe and efficient autonomous driving technologies.

What are the key skills and qualifications needed to thrive as a director Nvidia Autonomous Driving?

To thrive as a Director of Nvidia Autonomous Driving, you need deep expertise in autonomous vehicle technologies, computer vision, AI/ML, and a strong background in engineering or computer science, often supported by an advanced degree and extensive leadership experience. Familiarity with development platforms like NVIDIA DRIVE, programming languages such as Python and C++, and industry standards/certifications related to automotive safety are crucial. Strategic vision, stakeholder management, and the ability to lead cross-functional teams are standout soft skills in this role. These competencies ensure the delivery of innovative, safe, and commercially viable autonomous driving solutions in a rapidly evolving industry.

What are some key challenges a director Nvidia Autonomous Driving might face when leading cross-functional teams?

As a Director of Nvidia Autonomous Driving, you will often navigate the complexities of aligning diverse teams such as engineering, product management, and research to advance autonomous vehicle technology. Managing rapidly evolving technical requirements, balancing innovation with safety and regulatory compliance, and ensuring effective communication between software, hardware, and AI specialists are common challenges. Overcoming these requires strong leadership, a clear strategic vision, and the ability to foster collaboration across global teams. Building robust processes for testing, validation, and integration is essential to deliver on ambitious project timelines.

What is the difference between Director Nvidia Autonomous Driving vs Senior Autonomous Vehicle Software Engineer?

AspectDirector Nvidia Autonomous DrivingSenior Autonomous Vehicle Software Engineer
CredentialsAdvanced degrees in engineering or computer science, leadership experienceBachelor's or Master's in related field, specialized technical skills
Work EnvironmentLeadership roles overseeing teams, strategic planningHands-on software development, coding, testing
Employer & Industry UsageTech companies like Nvidia, automotive industry, R&DAutonomous vehicle companies, automotive suppliers, R&D
Search & Comparison IntentUnderstanding leadership roles in autonomous drivingTechnical development and engineering focus

The Director Nvidia Autonomous Driving typically holds a leadership position overseeing autonomous vehicle projects, requiring strategic and managerial skills. In contrast, a Senior Autonomous Vehicle Software Engineer focuses on technical development, coding, and implementing autonomous driving algorithms. Both roles are integral to Nvidia's autonomous driving initiatives but differ mainly in scope, responsibilities, and required experience.

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Director Nvidia Autonomous Driving jobs near you
Infographic showing various Director Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

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

Nvidia

Santa Clara, CA • On-site

$147K - $203K/yr

Full-time

Re-posted 6 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving teamto design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles. Our strategy has evolved fromAI 1.0 - building a driver from scratch - to AI 2.0 - teaching an intelligent agent to drive. This next phase leveragesLLMs, VLMs, and VLAsto bring unprecedented reasoning, planning capabilities, andinteractivity with the driving systemto 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 scratchora 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.

  • Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 23, 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

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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