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Gpu Performance Engineer Jobs in Massachusetts (NOW HIRING)

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

... graphics performance, parallel programming models or parallel computing performance. You would ... GPU or CPU architecture (or other equivalent experience). Strong programming ability in C, C ...

Senior GPU Architect

Westford, MA

$134K - $182K/yr

... graphics performance, parallel programming models or parallel computing performance. You would ... GPU or CPU architecture (or other equivalent experience). * Strong programming ability inC, C ...

Showing results 21-40

Gpu Performance Engineer information

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 are popular job titles related to Gpu Performance Engineer jobs in Massachusetts?

For Gpu Performance Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in Massachusetts look for?

The top searched job categories for Gpu Performance Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Gpu Performance Engineer jobs?

Cities in Massachusetts with the most Gpu Performance Engineer job openings:

Infographic showing various Gpu Performance Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

System Software Engineer, GPU Development Tools

Nvidia

Westford, MA • Hybrid

$179K - $213K/yr

Full-time

Re-posted 16 days ago


Key responsibilities

  • Develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale graphics and computing chips.

  • Play a critical role in every stage of GPU development, including working at the interface between software drivers and GPU simulation.

  • Coordinate with GPU architects and software teams to enable functional and performance testing for new GPU architectures.


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

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. Are you a hard-working GPU programmer. Do you want to help craft the architecture of future GPUs.

A key part of NVIDIA's strength is our sophisticated software platforms and simulation environments that enable our incredible pace of delivering new technology to market. We are looking for ground-breaking, hardworking, and creative people to join a dynamic software team with high production-quality standards. Our work includes developing chip simulations in SW, chip test authoring languages and tools, and driving performance improvement.

NVIDIA is continuously pushing the state of the art in chip development tools and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure for modeling, analyzing, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models, and on simulations, emulations, and silicon for all our GPUs.

What you'll be doing: As a member of the team, you will play a critical part in every stage of development of a GPU Thrive at the interface between software drivers and the GPU simulation You will become the specialist for running SW applications directly on simulated GPUs in diverse environments Capture instrumentation requirements from GPU architects who research next-gen improvements You will coordinate with GPU architects to enable functional and performance testing for the next architecture Work closely with SW teams to help them deliver production-ready drivers when silicon goes to market. In this role, you will improve the daily workflows of leading chip modelers and designers around the globe to help produce the next greatest generation of GPUs. What we need to see: Bachelor's or Master's in Computer Science or Computer Engineering or equivalent experience 5+ years of relevant software development work experience You understand the software driver stack, either in compute (CUDA) or graphics (DX, OpenGL, or Vulkan) Ability to work across the GPU and driver stacks Strong C++ programming capability are required Knowledge of object-oriented design patterns are required Excellent interpersonal skills Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements Ways to stand out from the crowd: Experience with chip and/or system simulation Strong Python scripting skills Experience with farm compute tools/techniques like virtual machines, containers, distributed programming #LI-Hybrid 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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 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.


What Nvidia employees say

Pay

Benefits

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