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Senior Gpu Engineer Jobs (NOW HIRING)

Senior GPU Compiler Development Engineer

Austin, TX

$121.40K - $160.10K/yr

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose ... As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler ...

Senior GPU Firmware Engineer

Santa Clara, CA

$140.30K - $185.60K/yr

We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is designing and implementing ...

OR ยท On-site

$129.40K - $175.80K/yr

Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance! What you'll be doing: * Architect and plan features in ...

Senior GPU Compiler Development Engineer

Redmond, WA

$137.20K - $180.90K/yr

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose ... As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler ...

Senior GPU Architect

Santa Clara, CA ยท On-site

$152.10K - $206.70K/yr

Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience) * A minimum of 10 years of relevant work experience in GPU or CPU System Architecture ...

Senior GPU Architect

Santa Clara, CA

$152.10K - $206.70K/yr

Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience) * A minimum of 10 years of relevant work experience in GPU or CPU System Architecture ...

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Senior Gpu Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior gpu engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior gpu engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior GPU Engineer, and why are they important?

To thrive as a Senior GPU Engineer, you need expertise in GPU architectures, parallel programming (such as CUDA or OpenCL), and a strong background in computer science or electrical engineering. Familiarity with performance profiling tools, hardware simulation environments, and experience with programming languages like C++ are typically required. Excellent problem-solving, teamwork, and communication skills help you collaborate effectively and tackle complex technical challenges. These skills are vital for developing high-performance GPU solutions and driving innovation in graphics and compute-intensive applications.

What are some common challenges Senior GPU Engineers face when optimizing performance for new hardware platforms?

Senior GPU Engineers often encounter challenges such as adapting software to leverage the latest GPU architectures, balancing performance with power efficiency, and debugging low-level hardware-related issues. Working closely with hardware designers and software developers is essential to ensure that drivers and applications are optimized for target platforms. Additionally, staying updated with rapidly evolving GPU technologies and industry standards is crucial for success in this role.

What are Senior GPU Engineers?

Senior GPU Engineers are experienced professionals who design, develop, and optimize graphics processing units (GPUs) and related software. They work on hardware architecture, driver development, and performance optimization to ensure GPUs run efficiently for tasks like gaming, AI, and scientific computing. In addition to technical expertise, Senior GPU Engineers often mentor junior team members and collaborate with cross-functional teams to deliver high-performance solutions.

What is the difference between Senior Gpu Engineer vs Gpu Software Developer?

AspectSenior Gpu EngineerGpu Software Developer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related field; experience with GPU architectureBachelor's or higher in Computer Science or related; programming skills in CUDA, OpenCL
Work EnvironmentResearch and development teams, hardware and software integrationSoftware development teams, application and driver development
Industry UsageHardware companies, gaming, AI, high-performance computingSoftware companies, game development, visualization

The main difference is that Senior Gpu Engineers focus on GPU hardware design, architecture, and optimization, while Gpu Software Developers primarily work on developing software applications, drivers, and APIs that utilize GPU capabilities. Both roles require strong programming skills and industry knowledge, but their focus areas differ significantly.

More about Senior Gpu Engineer jobs
What cities are hiring for Senior Gpu Engineer jobs? Cities with the most Senior Gpu Engineer job openings:
What are the most commonly searched types of Gpu Engineer jobs? The most popular types of Gpu Engineer jobs are:
What states have the most Senior Gpu Engineer jobs? States with the most job openings for Senior Gpu Engineer jobs include:
What job categories do people searching Senior Gpu Engineer jobs look for? The top searched job categories for Senior Gpu Engineer jobs are:
Infographic showing various Senior Gpu Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior GPU Compiler Development Engineer

Senior GPU Compiler Development Engineer

Nvidia Corporation

Santa Clara, CA โ€ข On-site

$143.90K - $189.70K/yr

Full-time

Posted 3 days ago


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.

Nvidia logo

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