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How much do internship nvidia autonomous driving jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for internship nvidia autonomous driving in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

Is it hard to get an internship at NVIDIA?

Internships at NVIDIA are competitive due to high demand and the company's reputation in technology and autonomous driving. Applicants typically need strong technical skills, relevant coursework, and sometimes prior project experience in areas like AI, machine learning, or software development. The selection process involves multiple stages, including technical interviews and assessments.

Can I get an internship at NVIDIA?

NVIDIA offers internships in areas such as autonomous driving, requiring candidates to have relevant skills in software development, machine learning, or engineering. Applicants typically need to be enrolled in a related degree program and demonstrate proficiency with tools like CUDA or deep learning frameworks. Internships are competitive and usually last several months during the summer or academic year.

What is the difference between Internship Nvidia Autonomous Driving vs Intern Nvidia Computer Vision?

AspectInternship Nvidia Autonomous DrivingIntern Nvidia Computer Vision
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; some knowledge of AI and roboticsEnrolled in Computer Science, Electrical Engineering, or related fields; strong programming skills in Python/C++
Work EnvironmentResearch labs, automotive industry projects, collaborative teamsResearch labs, AI development teams, tech industry settings
Employer & Industry UsageUsed by Nvidia in autonomous vehicle projects and automotive industryUsed by Nvidia in AI and computer vision applications across various sectors

Both internships involve AI, programming, and hardware knowledge, but the Autonomous Driving role focuses on vehicle systems and robotics, while Computer Vision emphasizes image processing and AI algorithms. Candidates should choose based on their interest in automotive applications versus general AI and vision tech.

How much do NVIDIA interns get paid?

NVIDIA interns typically receive a competitive hourly or monthly stipend that varies by location, role, and experience level. Intern salaries for technical roles such as autonomous driving often range from $3,000 to $7,000 per month during the summer internship program. Compensation may also include benefits like housing stipends or transportation allowances depending on the program specifics.

Is it difficult to get hired at NVIDIA?

Getting hired for an NVIDIA Autonomous Driving internship can be competitive due to the company's reputation and the specialized skills required, such as knowledge of autonomous systems, machine learning, and programming. Candidates typically need a strong academic background, relevant technical experience, and a demonstrated interest in autonomous vehicle technology. The application process often involves multiple interview stages, including technical assessments and behavioral interviews.
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Internship Nvidia Autonomous Driving jobs near you
Infographic showing various Internship Nvidia Autonomous Driving job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

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

Nvidia Corporation

Santa Clara, CA • On-site

$147K - $203K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Design and train large-scale models, including generative, imitation, and reinforcement learning, to enhance planning and reasoning in autonomous driving systems.

  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in autonomous driving and robotics applications.

  • Explore data generation and collection strategies to improve the diversity and quality of training datasets.

Job description

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.
  • 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.
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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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