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Senior Gpu Engineer Jobs (NOW HIRING)

Nvidia

Senior GPU Memory Architect

Durham, NC

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/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 ...

Nvidia

Senior GPU Architect

Santa Clara, CA

$152K - $206K/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 ...

Nvidia

Senior GPU Memory Architect

Santa Clara, CA · On-site

We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...

Nvidia

Senior GPU Compiler Development Engineer

Santa Clara, CA · On-site

$143K - $189K/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 ...

Crusoe

Senior GPU Capacity Planner

San Francisco, CA · On-site

As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management ... You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to ...

Crusoe

Senior GPU Capacity Planner

Seattle, WA · On-site

As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management ... You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to ...

Nvidia

Senior GPU Compiler Development Engineer

Austin, TX

$121K - $160K/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 ...

Qualcomm

Senior Staff GPU Engineer

San Diego, CA · On-site

$195K - $292K/yr

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: This individual leads the team to improve engineering efficiency, product quality and responsibility of the architecting ...

Nvidia

Senior GPU Firmware Engineer

Santa Clara, CA

$140K - $185K/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 ...

Crusoe

Senior GPU Capacity Planner

San Francisco, CA · On-site

As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management ... You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to ...

Crusoe

Senior GPU Capacity Planner

Sunnyvale, CA · On-site

As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management ... You will work closely with Sales, Customer Success, Solutions Engineering, and Fleet Management to ...

Nvidia

Senior GPU Compiler Development Engineer

Redmond, WA

$137K - $180K/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 ...

Nvidia

OR

$129K - $175K/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 ...

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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 Jul 13, 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 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 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 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:
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What job categories do people searching Senior Gpu Engineer jobs look for? The top searched job categories for Senior Gpu Engineer jobs are:
Senior Gpu Engineer jobs near you
Infographic showing various Senior Gpu Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior GPU Memory Architect

Senior GPU Memory Architect

Nvidia

Durham, NC

Full-time

Posted 15 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

We are now looking for a Senior GPU Memory Architect.

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world-changing solutions for autonomous vehicles, AI, gaming, mobile systems.

What you will be doing:

  • Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

  • Participating in performance simulation of features to improve memory access efficiency.

  • Implementing and maintaining high-level functional and performance models.

  • Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.

  • Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement.

  • Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU.

  • Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

What we need to see:

  • Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus.

  • 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.

  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus.

Ways to stand out from the crowd:

  • Experience with hardware memory management unit, prefetching, or memory subsystems.

  • Practical experience with multi-core systems and memory coherency.

Do you desire to be a part of a team of talented engineers developing ground-breaking GPU architectures from specification through implementation to extend the state of the art in GPU performance and functionality? Are you motivated to solve complex problems while optimizing performance, area, complexity, and power? If so, our GPU memory architecture group is looking for you. With competitive salaries and a generous benefits package, 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 working for us and, due to unprecedented market opportunities, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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