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Parallel Programming Jobs (NOW HIRING)

Nvidia

Senior GPU Architect

Santa Clara, CA

$152.10K - $206.70K/yr

Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

Nvidia

Senior GPU Architect

Westford, MA

$134.60K - $182.90K/yr

Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

Nvidia

Senior GPU Architect

Austin, TX

$128.40K - $174.50K/yr

Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

Nvidia

Senior GPU Architect

Durham, NC

$125.10K - $170.10K/yr

Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152.10K - $206.70K/yr

Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

SourceFly LLC

Systems Engineer

Fort Belvoir, VA · On-site

Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)

ConfigUSA

CUDA Programmer

Waukesha, WI · On-site

Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA, cuBLAS, cuDNN, NCCL as applicable). * Collaborate with system, compute, or AI/ML teams to ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189.80K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...

Hired Recruiters

$100.10K - $137.40K/yr

Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!

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How much do parallel programming jobs pay per year?

As of May 29, 2026, the average yearly pay for parallel programming in the United States is $110,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

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

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

What job makes $10,000 a month without a degree?

In the field of parallel programming, highly skilled software developers or engineers working on complex systems can earn $10,000 or more per month, especially with expertise in high-demand areas like GPU programming, distributed systems, or specialized frameworks. These roles often require strong coding skills, experience with parallel algorithms, and proficiency in tools such as CUDA or OpenCL, but may not always require a formal degree if demonstrated through a strong portfolio or certifications.
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Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in the United States as of May 2026, with employment types broken down into 19% Full Time, 57% Part Time, and 24% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $110,762 per year, or $53.3 per hour.
Senior Graphics and Parallel Programming Architect, Memory Models

Senior Graphics and Parallel Programming Architect, Memory Models

Nvidia

Santa Clara, CA

Full-time

Posted 19 days ago

Job description

We are now looking for a Sr Graphics and Parallel Programming Architect, Memory Models!


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 the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in graphics features, graphics performance, parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features.


What you'll be doing:

  • Design new hardware features for future graphics and parallel processing architectures

  • Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation

  • Be knowledgeable about future parallel programming models and their impact to hardware

  • Develop software for memory model simulators, enabling the simulator for use by internal and external customers

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models

  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures

  • Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

  • MS Degree in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience.

  • Strong programming ability: C, C++, Perl, Python preferred

  • 10+ years of experience in computer architecture, graphics algorithms, parallel processing, memory model and/or high performance computing

  • Firsthand experience in developing memory model simulators

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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