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

As of Jul 14, 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 are Temporary Nvidia Autonomous Driving jobs?

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 are the key skills and qualifications needed to thrive as a Temporary Nvidia Autonomous Driving Engineer, and why are they important?

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

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

Nvidia

Santa Clara, CA

$147K - $203K/yr

Full-time

Posted 26 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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

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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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