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Director 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 ...

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.

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 ...

... 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 ...

Senior Hypervisor and RTOS Engineer

Austin, TX · On-site

$118K - $156K/yr

... in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ... critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous ...

New

Senior Hypervisor and RTOS Engineer

Austin, TX · On-site

$118K - $156K/yr

... in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ... critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous ...

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 ...

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Director Nvidia Autonomous Driving information

What does a director Nvidia Autonomous Driving do?

A Director of Nvidia Autonomous Driving leads teams that develop and implement advanced autonomous vehicle technologies using Nvidia's hardware and software platforms. They oversee strategic planning, product development, and collaborations with automotive partners to bring self-driving solutions to market. This role requires a strong background in artificial intelligence, automotive systems, and leadership to ensure the successful deployment of safe and efficient autonomous driving technologies.

What are the key skills and qualifications needed to thrive as a director Nvidia Autonomous Driving?

To thrive as a Director of Nvidia Autonomous Driving, you need deep expertise in autonomous vehicle technologies, computer vision, AI/ML, and a strong background in engineering or computer science, often supported by an advanced degree and extensive leadership experience. Familiarity with development platforms like NVIDIA DRIVE, programming languages such as Python and C++, and industry standards/certifications related to automotive safety are crucial. Strategic vision, stakeholder management, and the ability to lead cross-functional teams are standout soft skills in this role. These competencies ensure the delivery of innovative, safe, and commercially viable autonomous driving solutions in a rapidly evolving industry.

What are some key challenges a director Nvidia Autonomous Driving might face when leading cross-functional teams?

As a Director of Nvidia Autonomous Driving, you will often navigate the complexities of aligning diverse teams such as engineering, product management, and research to advance autonomous vehicle technology. Managing rapidly evolving technical requirements, balancing innovation with safety and regulatory compliance, and ensuring effective communication between software, hardware, and AI specialists are common challenges. Overcoming these requires strong leadership, a clear strategic vision, and the ability to foster collaboration across global teams. Building robust processes for testing, validation, and integration is essential to deliver on ambitious project timelines.

What is the difference between Director Nvidia Autonomous Driving vs Senior Autonomous Vehicle Software Engineer?

AspectDirector Nvidia Autonomous DrivingSenior Autonomous Vehicle Software Engineer
CredentialsAdvanced degrees in engineering or computer science, leadership experienceBachelor's or Master's in related field, specialized technical skills
Work EnvironmentLeadership roles overseeing teams, strategic planningHands-on software development, coding, testing
Employer & Industry UsageTech companies like Nvidia, automotive industry, R&DAutonomous vehicle companies, automotive suppliers, R&D
Search & Comparison IntentUnderstanding leadership roles in autonomous drivingTechnical development and engineering focus

The Director Nvidia Autonomous Driving typically holds a leadership position overseeing autonomous vehicle projects, requiring strategic and managerial skills. In contrast, a Senior Autonomous Vehicle Software Engineer focuses on technical development, coding, and implementing autonomous driving algorithms. Both roles are integral to Nvidia's autonomous driving initiatives but differ mainly in scope, responsibilities, and required experience.

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:

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For Director Nvidia Autonomous Driving jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Director Nvidia Autonomous Driving jobs in Texas are:

What cities in Texas are hiring for Director Nvidia Autonomous Driving jobs?

Cities in Texas with the most Director Nvidia Autonomous Driving job openings:

Infographic showing various Director Nvidia Autonomous Driving job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior GPU Compiler Development Engineer

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Lead efforts to enhance PTX Compiler infrastructure to support new compilation models for Deep Learning and Generative AI codes.

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

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


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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