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Gpu Programming Jobs in Boston, MA (NOW HIRING)

GPU Verification Engineer

Westford, MA · On-site

$141K/yr

We are now looking for a GPU Verification Engineer. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs. This position offers the opportunity to have real ...

We are now looking for a GPU Verification Engineer. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs. This position offers the opportunity to have real ...

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in ...

GPU Software Engineer

Boxborough, MA · On-site

$98K - $148K/yr

... performance of GPU hardware, drivers, features, applications, and tools. Qualcomm Engineers ... more programming language suitable for graphics (e.g., C++, C). Preferred Qualifications: • ...

GPU Software Engineer

Boxborough, MA · On-site

$98K - $148K/yr

... performance of GPU hardware, drivers, features, applications, and tools. Qualcomm Engineers ... more programming language suitable for graphics (e.g., C++, C). Preferred Qualifications: • ...

Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT ...

Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT ...

Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT ...

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Gpu Programming information

See Boston, MA salary details

$35.9K

$70.6K

$103.8K

How much do gpu programming jobs pay per year?

As of Jul 26, 2026, the average yearly pay for gpu programming in Boston, MA is $70,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $86,900.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What are the key skills and qualifications needed to thrive in the Gpu Programming position, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU Programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the most commonly searched types of Gpu Programming jobs in Boston, MA? The most popular types of Gpu Programming jobs in Boston, MA are:
What job categories do people searching Gpu Programming jobs in Boston, MA look for? The top searched job categories for Gpu Programming jobs in Boston, MA are:
Infographic showing various Gpu Programming job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $70,588 per year, or $33.9 per hour.
System Software Engineer, GPU Development Tools

System Software Engineer, GPU Development Tools

Nvidia

Westford, MA • Hybrid

$179K - $213K/yr

Full-time

Posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 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

Get the full story on Breakroom


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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

Year founded

1993