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Senior Gpu Engineer Jobs (NOW HIRING)

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/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 ...

Nvidia

Senior GPU Supercomputer Scheduler Engineer

Redmond, WA · On-site

$137K - $180K/yr

We seek engineers with deep technical expertise to identify architectural directions and new approaches for AI workload scheduling to serve many simultaneous and large multi-node GPU workloads with ...

Nvidia

Senior GPU Architect

Santa Clara, CA

$152K - $206K/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 ...

Nvidia

Senior GPU System Architect

Santa Clara, CA · Hybrid

Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer ... What we need to see: * BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · On-site

$161K - $218K/yr

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities will be diverse including architecture, technology research, hands-on prototyping, experimental ...

NVIDIA

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

Preferred : • Experience in Programming Languages design and drafting programming language standards. • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. • Development ...

Qualcomm

GPU DV Engineer

Santa Clara, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading ... senior leadership (e.g., Director and above). • 1+ year in a technical leadership role with ...

Qualcomm

GPU HLM Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading ... senior leadership (e.g., Director and above). • 1+ year in a technical leadership role with ...

Nvidia

Senior GPU Memory Architect

Santa Clara, CA

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Collaborate closely with multi-disciplinary engineering teams to translate product requirements ...

ARM

Senior GPU Modeling & Compiler Engineer

Austin, TX · Hybrid

$161K - $218K/yr

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities will be diverse including architecture, technology research, hands-on prototyping, experimental ...

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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 14, 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 Architect, Deep Learning

Senior GPU Architect, Deep Learning

Nvidia

Austin, TX

Full-time

Re-posted 10 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 & Deep Learning Architect!

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features.

What you'll be doing:

  • Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference.

  • Advance the state of parallel computation.

  • Be knowledgeable about future parallel programming models and their impact to hardware.

  • Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.

  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures

  • Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.

  • Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware.

  • 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience).

  • Strong programming ability inC, C++, Perl andPython.

  • Background in computer architecture, parallel processing, signal processing and/or high performance computing.

  • Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.

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 January 13, 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

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

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