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Temporary Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate endtoend data and ML pipelines for NVIDIA ...

Nvidia Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end-to-end data and ML pipelines for ...

NVIDIA Corporation

$184 - $357/hr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end‐to‐end data and ML pipelines for ...

NVIDIA Corporation

Senior MLOps Engineer

Santa Clara, CA · On-site

$184 - $357/hr

NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving organization in Santa Clara, CA. This individual contributor will design and operate end‐to‐end data and ML pipelines for ...

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

As of Aug 23, 2026, the average hourly pay for temporary nvidia autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.
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Temporary Nvidia Autonomous Driving jobs near you
Infographic showing various Temporary Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 31% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior Software Engineer - Autonomous Driving Simulation

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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 on Real2Sim and Sim2Real domain 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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