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Gpu Performance Engineer Jobs (NOW HIRING)

Google

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

Google

Senior Software Engineer, GPU Performance

Kirkland, WA · On-site

$139K - $183K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

Apple

GPU Performance Modeling Engineer

San Diego, CA

$139K - $258K/yr

Description 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 ...

Google

Senior Software Engineer, GPU Performance

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

Makora

Gpu Kernel Engineer

GPU Kernel Engineer Our R&D team is seeking expert level GPU kernel engineers to help build the ... Explore and analyze performance bottlenecks in ML training and inference. * Develop and optimize ...

Apple

GPU Performance Modeling Engineer

San Diego, CA

$139K - $258K/yr

Description 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 ...

Google

Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$164K/yr

Experience low-level GPU programming (CUDA, Triton, CUTLASS, etc.) and performance engineering techniques. * Experience with modern GPU architectures (NVIDIA, AMD, or other AI accelerators), memory ...

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Gpu Performance Engineer information

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$11

$60

$98

How much do gpu performance engineer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for gpu performance engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

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

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

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Gpu Performance Engineer jobs near you
Software Engineer, GPU Performance Tools

Software Engineer, GPU Performance Tools

Nvidia

Hillsboro, OR • On-site

$152K/yr

Full-time

Posted 28 days ago

Job description

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling capabilities on the next-generation hardware. In this role, you will get to reshape how engineers understand and optimize the world's most advanced GPUs. If you want the freedom to take features from concept through implementation while applying critical thinking and engineering judgment, this is the role for you!

What you'll be doing:

  • Build innovative features for NVIDIA's GPU profiling tools from inception to execution

  • Incorporate new hardware profiling capabilities into tools and workflows

  • Work independently based on high-level requirements, filling in build details and making sound engineering decisions

  • Collaborate with architects, performance engineers, and other software teams to understand requirements and deliver solutions

  • Improve and maintain a large, evolving codebase with high standards for quality and reliability

What we need to see :

  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

  • 3 years or more experience writing production software in Python and C++

  • Proven foundation in computer architecture and performance analysis

  • Experience in parallel programming or accelerated computing

  • Track record of building tools or infrastructure for other engineers, with a strong sense of what makes a great developer experience

  • Up to date with the latest software engineering practices including AI-enabled development tooling

Ways to stand out from the crowd:

  • Contributions to open-source performance analysis tooling

  • Experience as a user or creator of CPU or GPU profiling tools

  • Experience in GPU computing or accelerated computing platforms

  • Background with building software tools on top of hardware capabilities

  • Familiarity with AI workloads and their performance characteristics

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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.
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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