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Temporary Nvidia Autonomous Driving Jobs in Texas

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs ...

Experience in driving development of large scale ASIC floorplan is a huge plus. NVIDIA is widely ... Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power ...

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

... Autonomous Driving, High-Performance Computing and Visualization. We have some of the most forward ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

Study workloads for a wide range of markets, including CSP, HPC,AI / DL, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

... NVIDIA's world changing SOCs for deep-learning, autonomous vehicles and robotics, mobile systems ... Driving development of architecture and micro-architecture to improve the state-of-the-art in ...

... autonomous vehicles? Come join the CPU architecture team and help us the boundaries for all our CPU ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

... and autonomous vehicles? Come join the CPU performance architecture team as a Senior System ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

Driving coverage-based verification closure * Collaborate with design teams across NVIDIA to find ... If you're creative and autonomous, we want to hear from you. #LI-Hybrid Your base salary will be ...

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Temporary Nvidia Autonomous Driving information

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.
What are the most commonly searched types of Nvidia Autonomous Driving jobs in Texas? The most popular types of Nvidia Autonomous Driving jobs in Texas are:
What are popular job titles related to Temporary Nvidia Autonomous Driving jobs in Texas? For Temporary Nvidia Autonomous Driving jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Temporary Nvidia Autonomous Driving jobs? Cities in Texas with the most Temporary Nvidia Autonomous Driving job openings:
Infographic showing various Temporary Nvidia Autonomous Driving job openings in Texas as of August 2026, with employment types broken down into 65% Full Time, 32% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior GPU Compiler Development Engineer

Nvidia

Austin, TX • On-site

$121K - $160K/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

8th of 242 rated software companies


Job description

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface.

As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs.

What you will be doing:

  • Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL.

  • Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs.

  • Working closely with others to help design compilation stack and strategies for AI and DL workloads.

  • Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation.

What we need to see:

  • BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields.

  • 6+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers.

  • Superb analytical and C/C++ programming skills.

  • Able to expertly use AI tools and maintain AI generated artifacts

  • Experience in any one area of compiler development including feature support, code generation and compiler infrastructure.

  • Excellent and strong interactive, verbal and written communications skills.

  • Understanding of any Processor ISA (GPU ISA a plus).

  • Good track record of developing, driving and delivering software products.

Ways to stand out from the crowd:

  • Experience in Programming Languages design and drafting programming language standards.

  • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL.

  • Development experience in LLVM IR, MLIR

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, 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 184,000 USD - 287,500 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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Pay

Benefits

Hours and flexibility

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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