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Gpu Performance Engineer Jobs in Ayer, MA (NOW HIRING)

Nvidia

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 inC, C ...

Nvidia

Senior Solution Engineer, Compute Systems

Westford, MA · On-site

$57.50 - $74/hr

Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including ...

Nutanix

Graphics Software Engineer, Staff

Boxborough, MA · On-site

$142 - $212/hr

Qualcomm Graphics Software Engineers architect, design, implement, verify, and optimize the structure and performance of GPU hardware, drivers, features, applications, and tools. Qualcomm Engineers ...

Nvidia

Senior ASIC Hardware Design Engineer

Westford, MA · On-site

... performance, low-power GPU and interconnect subsystems. You will work closely with architects, design engineers, verification engineers, and physical design engineers to contribute to the design and ...

STR

Lead Software Engineer

Woburn, MA · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

STR

Lead Software Engineer

Woburn, MA · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

STR

Lead Software Engineer

Woburn, MA · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high-performance, real-time applications * Experience with Linux and embedded systems development

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How much do gpu performance engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for gpu performance engineer in Ayer, MA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $76.20 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 cities near Ayer, MA are hiring for Gpu Performance Engineer jobs?

Cities near Ayer, MA with the most Gpu Performance Engineer job openings:

Gpu Performance Engineer jobs near you

System Software Engineer - Performance Verification Infrastructure

Westford, MA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

Full-time

Re-posted 23 hours ago

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.

Join NVIDIA's GPU Performance Infrastructure team and be part of a brand-new journey in validating and shipping next-generation GPU architectures. At NVIDIA, we empower our engineers to innovate and drive powerful performance through innovative infrastructure and workflows. This role is uniquely positioned to influence the entire lifecycle of GPU performance verification, from early-stage modelling to post-silicon validation. With our bold standards and extraordinary team, you'll have the chance to define a significant impact on the future of computing!

What you'll be doing:

  • Build and develop end-to-end performance verification infrastructure.

  • Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.

  • Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures.

  • Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.

  • Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.

  • Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!

What we need to see:

  • BS/MS in Computer Science, Computer Engineering, or equivalent experience.

  • 3+ years of software engineering experience with C++ and Python.

  • Strong CS fundamentals, including data structures, algorithms, OOP, and system design.

  • Verilog basics is a strong plus

  • Experience with chip and/or system simulation/emulation a strong plus.

  • Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon is a strong plus.

  • Familiarity with AI development tools.

  • Excellent interpersonal skills.

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 August 1, 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

View All Nvidia Jobs

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