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Gpu Profiling Engineer Jobs (NOW HIRING)

Experience in CUDA or GPU programming models. * Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization. * In-depth experience with profiler tools including CPU ...

Experience in CUDA or GPU programming models. Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization. In-depth experience with profiler tools including CPU ...

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

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 ...

$129K - $176K/yr

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 ...

We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure ... The Role You'll be our performance optimization expert, using advanced profiling tools to identify ...

We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure ... The Role You'll be our performance optimization expert, using advanced profiling tools to identify ...

Senior GPU Architect

OR · On-site +1

$129K - $175K/yr

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 ...

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 ...

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 ...

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/yr

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 ...

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 ...

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Gpu Profiling Engineer information

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$52.5K

$108.8K

$149K

How much do gpu profiling engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for gpu profiling engineer in the United States is $108,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What does a GPU Profiling Engineer do?

A GPU Profiling Engineer specializes in analyzing and optimizing the performance of graphics processing units (GPUs) in software and hardware systems. They use profiling tools to monitor GPU utilization, identify bottlenecks, and recommend improvements to boost efficiency and speed. Their work is critical in industries like gaming, AI, and scientific computing, where high GPU performance is essential. Typically, they collaborate with software developers and hardware engineers, ensuring applications make the most effective use of GPU resources.

What are the key skills and qualifications needed to thrive as a GPU Profiling Engineer?

To thrive as a GPU Profiling Engineer, you need a strong background in computer science, graphics programming, and performance analysis, usually supported by a relevant degree. Proficiency with profiling tools like NVIDIA Nsight, AMD Radeon GPU Profiler, and familiarity with graphics APIs such as Vulkan or DirectX is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with development teams. These competencies ensure efficient GPU performance optimization, enabling high-quality graphics and smooth application experiences.

What are some typical challenges faced by a GPU Profiling Engineer when optimizing application performance?

GPU Profiling Engineers often encounter challenges such as identifying performance bottlenecks caused by inefficient memory access patterns, thread divergence, or suboptimal kernel usage. Analyzing complex profiling data and translating it into actionable optimization steps requires a deep understanding of both hardware and software. Additionally, collaborating closely with development and QA teams to test and refine optimizations is a critical part of the role, as changes can have wide-ranging impacts on application stability and speed.

What are popular job titles related to Gpu Profiling Engineer jobs?

For Gpu Profiling Engineer jobs, the most frequently searched job titles are:

Infographic showing various Gpu Profiling Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,775 per year, or $52.3 per hour.

GPU Performance Profiling Engineer

Austin, TX

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Analyze hardware and software feature sets for next generation GPU and SoC performance tools.

  • Review chip features to ensure high-quality developer tools support and observability of performance behaviors.

  • Prototype new data collection methods to improve GPU development tools and reduce time and cost to market.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools team!

Innovate as you develop the performance analysis capability of NVIDIA hardware, drivers, and SDKs to support current and future generations of GPUs and SoCs. Help inventors around the world who will depend on the creative products that you worked on to better utilize our GPU hardware to its maximum potential in their applications. Join the team that brings new technologies to market. You will have a direct impact on the performance profiling tools that our team provides based on next generation hardware which you help to define.

What you'll be doing:

  • Analyze hardware/software feature sets for next generation GPU and SoC performance tools.

  • Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.

  • Collaborate with developer tools engineers, software library developers, and GPU architects on new features.

  • Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.

  • Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams.

What we need to see:

  • B.S. EE/CS (or equivalent experience) with 4+ years of experience or MS with 2+ years' experience, or Ph.D.

  • Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers.

  • Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs).

  • Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.

  • Knowledge of performance analysis concepts, particularly of GPU applications.

  • Proficiency in hardware-software co-design principles and practices.

Ways to stand out from the crowd:

  • Strong programming ability in C, C++, and scripting languages.

  • Strong background in performance analysis tools and performance monitor hardware.

  • Experience in CUDA or GPU programming models.

  • Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.

  • In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in device driver development.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most dedicated and hard-working individuals in the world working for us. If you are creative and autonomous, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 11, 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.

What Nvidia employees say

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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