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Temporary Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Principal Architect, Camera ISP

Santa Clara, CA · On-site

Lead 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 drive ...

Nvidia

OR

$122.40K - $161.30K/yr

In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us.

Nvidia

OR

... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...

Nvidia

OR

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Develop use cases and system requirements for L3 and L4 autonomous driving products based on ...

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

As of May 30, 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 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.

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.
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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 May 2026, with employment types broken down into 18% Full Time, 75% Part Time, 1% Temporary, and 6% Contract. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.
Principal Architect, Camera ISP

Principal Architect, Camera ISP

Nvidia

Santa Clara, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

NVIDIA is an innovative technology company dedicated to advancing camera technologies. We are at the forefront of AI and computer vision innovation, enhancing the quality of visual data for a wide range of AI applications including autonomous vehicles, robots, and smart cities. We are seeking creative, dedicated, and highly motivated individuals to join our team in making a lasting impact on the world.

As Principal ISP Architect, you will have the opportunity to push the boundaries of camera imaging technologies for both human and machine vision systems. Join us to shape the next-generation camera imaging technology and enable a safe, smart, and fun future!

What you'll be doing:

  • Lead 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 drive continuous improvement and innovation in image processing algorithms and architectures including AI methods to achieve unprecedented image quality

  • Engage with new camera application areas including Vision-Language-Action AI to understand needs and constraints, and discover opportunities to innovate ISP

  • Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, hardware engineers, and software teams

  • Represent new and existing NVIDIA ISP capabilities to internal groups, partners, and customers

What we need to see:

  • A Master's degree or Ph.D. or equivalent experience in Electrical Engineering, Computer Science, or a related field

  • 12+ years of proven experience in ISP architecture and imaging science for automotive, robotics, surveillance, and consumer cameras

  • Strong foundation in human- and machine-centric image quality assessment and algorithm complexity analysis

  • Proficiency in C/C++, MATLAB, Python, DL framework (PyTorch, TensorFlow)

  • Excellent communication skills for productive personal interactions as well as for effective documentation and presentation

Ways to stand out from the crowd:

  • Background in image science covering optics, HDR image sensors, and color/tone management

  • Hands-on experience in deploying AI-based ISP technologies in real-time camera systems

  • Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems

  • Track record in building a culture of imaging excellence based on first principles and attention to detail through mentorship, teaching, and personal examples

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world doing lifeworks for us. Do you love the challenge of crafting the smartest, fastest, and most efficient ISP solutions? If so, we want to hear from you!

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 May 3, 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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