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Parallel Programming Jobs (NOW HIRING)

Nvidia

$122K - $161K/yr

Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc. * You care deeply about robust, readable, high-performance code * Excited to learn, explore new ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/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 ...

Inficare Technologies

.Net Developer

Dallas, TX · On-site

$47.75 - $63/hr

NET , async/await , multithreading, and parallel programming * Performance optimization using LINQ best practices , lazy loading, AsNoTracking, and optimized queries * Experience with caching (Redis ...

Pivotal Solutions

Sr. Software Engineer

Little Rock, AR · On-site

$103K - $136K/yr

Experience with parallel programming and asynchronous patterns * Full stack or n-tier application development in high data volume environments * 10+ years of recent software development experience ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Tysons, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...

Cymertek Corporation

HPC Software Engineer

Reston, VA · On-site

Required : • Proficiency in parallel programming languages (e.g., MPI, OpenMP) • Strong understanding of HPC architectures and clusters • Experience with performance profiling and tuning tools ...

Nvidia

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143K - $189K/yr

Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. * Design, implement and maintain system software that enables interactions among GPUs and ...

Bolt Graphics

GPU Compiler Lead

Sunnyvale, CA · On-site

$68.75 - $90.25/hr

... for parallel workloads • Collaborate with hardware architects to optimize performance and efficiency • Lead internal teams of compiler engineers and coordinate with partners and external ...

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How much do parallel programming jobs pay per year?

As of Jul 10, 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 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 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.

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Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Summer. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $110,762 per year, or $53.3 per hour.
Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Nvidia

On-site

$122K - $161K/yr

Full-time

Posted 7 days ago

Job description

We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA's Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators-highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you'll be doing:

  • Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows

  • Implementing solutions in C++ and CUDA

  • Contributing to open source projects, such as cuDF, Velox, Presto and Spark

  • Benchmarking, profiling, and optimizing code

  • Working closely with the world's top experts in GPU hardware, software and workflows

What we need to see:

  • 5+ years of experience in Computer Science or Software Engineering

  • MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)

  • Strong Modern C++ programming skills

  • Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.

  • You care deeply about robust, readable, high-performance code

  • Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

Ways to stand out from the crowd:

  • Familiarity with RAPIDS cuDF

  • Experience in data science workflow development and debugging

  • Passion for publishing your work in technical blogs and conferences.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

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 July 7, 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

Year founded

1993

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