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Internship Nvidia Engineering Jobs in California

Nvidia

Senior GPU Memory Architect

Santa Clara, CA · On-site

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Your history of successfully mentoring junior engineers and interns is a huge plus. Ways to stand ...

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Internship Nvidia Engineering information

What is the difference between Internship Nvidia Engineering vs Software Engineering Intern?

AspectInternship Nvidia EngineeringSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related field, strong programming skillsEnrolled in Computer Science or related field, coding proficiency
Work EnvironmentResearch labs, hardware and software development teams at NvidiaSoftware development teams, tech companies or startups
Employer & Industry UsageNvidia, semiconductor and AI industryTech companies, software firms, startups
Common Search & ComparisonInternship Nvidia Engineering vs Software Engineering Intern

Internship Nvidia Engineering focuses on hardware, AI, and graphics technology within Nvidia's innovative environment, while Software Engineering Internships are broader, covering various software development roles across multiple tech companies. Both require programming skills and relevant coursework, but Nvidia internships emphasize hardware-software integration and AI applications.

What are the most commonly searched types of Nvidia Engineering jobs in California? The most popular types of Nvidia Engineering jobs in California are:
What are popular job titles related to Internship Nvidia Engineering jobs in California? For Internship Nvidia Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Nvidia Engineering jobs in California look for? The top searched job categories for Internship Nvidia Engineering jobs in California are:
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Internship Nvidia Engineering jobs near you
Infographic showing various Internship Nvidia Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Software Engineer - Autonomous Driving Simulation

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is seeking a highly motivated Software Engineer to join our Autonomous Vehicle (AV) Simulation team. In this role, you will help build and scale realistic virtual environments that accelerate the training, testing, and validation of NVIDIA's autonomous driving software stack.
Our mission is to enable large-scale simulation and debugging of AV algorithms across millions of scenarios per day, spanning diverse traffic patterns, road conditions, weather environments, and edge cases. Achieving this requires deep performance optimization and systems-level analysis across the entire software stack - from AV algorithms and AI models to system software, infrastructure, and production-scale simulation workflows.
What you'll be doing:
  • Develop scalable simulation platforms and workflows for autonomous driving validation and training.
  • Work onReal2Sim and Sim2Realdomain adaptation technologies to transform real-world driving incidents into diverse simulation scenarios - and bridge the gap between simulated and real-world behavior.
  • Contribute across a multidisciplinary stack involving: System software and distributed infrastructure, neural graphics & rendering, generative AI & synthetic data generation, computer vision & deep learning, and real-to-synthetic domain adaptation.
  • Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.
  • Collaborate closely with researchers, infrastructure engineers, and product teams across NVIDIA.
  • Drive technology transfer into production products and contribute to open-source initiatives where applicable.

What we need to see:
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field (or equivalent experience).
  • 5+ years of relevant autonomous vehicles industry experience.
  • Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
  • Experience with modern software engineering and infrastructure tools such as Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
  • Strong background in computer vision, deep learning, simulation systems, or related domains.
  • Excellent analytical and mathematical problem-solving skills.
  • Ability to independently drive complex projects from concept to production.
  • Strong communication, collaboration, and teamwork skills.
  • Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.

Ways to stand out from the crowd:
  • First-author publications at top-tier conferences such as NeurIPS, CVPR, ICCV, ECCV, or ICML.
  • Experience in autonomous driving, robotics simulation, neural rendering, synthetic data generation, or generative AI.
  • Proven research or engineering excellence through internships, open-source contributions, code competitions, or impactful production systems.
  • Experience optimizing high-performance or large-scale distributed workloads.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 15, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

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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