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Gpu Jobs (NOW HIRING)

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and ...

Apple

GPU Performance Modeling Engineer

San Diego, CA · On-site

As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you will analyze ...

Roblox

Principal Software Engineer, GPU Compute

San Mateo, CA · On-site

$153K - $206K/yr

This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads ...

Apple

GPU Benchmark Analysis Architect

Cupertino, CA · On-site

$206K/yr

Analyze GPU workloads performance and bottlenecks various devices. Implement and/or suggest improvements to remove the identified bottlenecks.Build targeted microbenchmarks to help understand ...

MediaTek

Sr. GPU Compiler Developer

San Diego, CA · On-site

$57.75 - $76.50/hr

The role involves developing and implementing GPU compiler pipelines and analyzing code generation issues. Responsibilities : • Define GPU compiler software architecture and interfaces. • ...

New

Xoriant Corporation

GPU Software Engineer

Austin, TX

GPU Software Engineer Location: Austin, TX Duration: Long Term Contract Roles and Responsibilities: * As a GPU Software Engineer, you will be equipped to develop GPU IP from the early Architectural ...

Nvidia

$129K - $176K/yr

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and ...

Mastech Digital

GPU RTL/FW Engineer

San Jose, CA · Remote

$120/hr

We are currently seeking a GPU RTL/FW Engineer for our client in the Electronics domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Bolt Graphics

GPU Compiler Lead

Sunnyvale, CA · On-site

$68.75 - $90.25/hr

They are seeking a highly experienced GPU Compiler Lead to lead the design and implementation of a high-performance compiler stack for their proprietary GPU architecture. Responsibilities : • Lead ...

Qualcomm

GPU Performance Engineer

San Diego, CA · On-site

$87K - $116K/yr

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Qualcomm

GPU Compiler Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Qualcomm

GPU Compiler Engineer

San Diego, CA

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

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 graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming ...

Nvidia

OR

$129K - $175K/yr

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and ...

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How much do gpu jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for gpu in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $64.90 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

High-paying jobs related to GPU technology typically include senior roles such as GPU architects, machine learning engineers, and graphics hardware directors, often requiring advanced degrees and extensive experience. These positions may involve leadership, research, or specialized technical skills and are usually found in large tech companies or research institutions. Compensation at this level often includes base salary, bonuses, and stock options, but such roles are highly competitive and rare.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

What jobs pay $400 an hour?

High-paying jobs related to GPU work typically include specialized roles such as AI research scientists, machine learning engineers, and graphics software developers, especially those with advanced skills and experience. These positions often require advanced degrees, expertise in programming, and experience with GPU hardware and parallel computing. Such roles are usually found in technology companies, research institutions, or consulting firms and may involve consulting or freelance work for high hourly rates.

What is a GPU job?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with experience, advanced skills, and working in high-demand industries or companies. Executive or leadership roles like engineering managers or CTOs also often reach this compensation level, often including bonuses and stock options.

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

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

Which 3 jobs will survive AI?

GPU-related roles such as hardware engineers, AI/ML specialists, and data scientists are likely to persist as they require specialized technical skills and understanding of complex systems. These jobs involve designing, developing, and maintaining AI infrastructure, which AI itself cannot fully automate. Continuous learning and expertise in programming, algorithms, and hardware are essential for these roles to remain relevant.
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GPU jobs near you
Infographic showing various Gpu job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $114,281 per year, or $54.9 per hour.
Senior GPU Architect

Senior GPU Architect

Nvidia Corporation

Santa Clara, CA • On-site

$152K - $206K/yr

Full-time

Posted 3 days ago

Job description

NVIDIA's GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the AI revolution. 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 concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features.
  • Build functional and performance models to refine and verify hardware designs.
  • Create test plans to validate the features you design and contribute to their implementation.
  • Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.

What we need to see:
  • Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.
  • 3+ years of relevant computer architecture, ASIC design/verification, or software development experience.
  • Strong programming skills in C++ (or similar) and Python (or similar).
  • Solid foundation in computer architecture and hardware performance analysis.
  • Experience with performance modeling and hardware simulation, ideally using SystemC.
  • Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.

Ways to stand out from the crowd:
  • Expertise in developing and optimizing parallel algorithms, particularly using GPUs.
  • Extensive experience as a user or developer of CPU or GPU profiling tools.
  • Background with AI and/or high-performance computing applications
  • Experience contributing to and debugging large codebases with many developers.

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 June 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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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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