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Gpu Performance Engineer Jobs in Dallas, TX (NOW HIRING)

Its engineers build critical infrastructure to eliminate friction in scientific research ... This team owns the systems and tooling that keep hundreds of high-performance GPU compute nodes ...

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Gpu Performance Engineer information

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$10

$59

$97

How much do gpu performance engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for gpu performance engineer in Dallas, TX is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.31 per hour, depending on experience, location, and employer.

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 some common challenges faced by a GPU performance engineer 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 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.

What job categories do people searching Gpu Performance Engineer jobs in Dallas, TX look for?

The top searched job categories for Gpu Performance Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Gpu Performance Engineer jobs?

Cities near Dallas, TX with the most Gpu Performance Engineer job openings:

Infographic showing various Gpu Performance Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $123,673 per year, or $59.5 per hour.

Senior Electrical Product Engineer - Datacenter

Nvidia

Dallas, TX • On-site

$106K - $138K/yr

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets - Gaming, Professional Visualization, Datacenter and Automotive - where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable outstanding creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars.

Collaborating with your peers across various engineering groups, you will optimally launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA's HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company's fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered outstanding.

This position will be based in Dallas, Texas.

What you will be doing:

  • Use your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products

  • Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards

  • Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

  • Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements.

  • We collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and efficiency.

  • Craft creative solutions and WARs through volume data analysis and lab experimentation to solve meaningful yield and test problems.

  • We lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

  • Support customer facing and quality teams during partner concerns to understand the issue and fix gaps identified in coverage.

What we need to see:

  • BS or MS degree in EE/CE or equivalent experience.

  • 8+ years of meaningful industry experience.

  • Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.

Ways to stand out from the crowd:

  • Prior board/system level electrical design experience.

  • Experience with Perl, C/C++, Windows, and Linux.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 4, and 168,000 USD - 270,250 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 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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Hours and flexibility

Workplace

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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