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Parallel Programming Jobs (NOW HIRING)

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 ...

Rylo Inc.

Algorithm Engineer

San Francisco, CA · On-site

Preferred : • Parallel programming skills (e.g., CUDA, Halide, OpenCL, Metal) are a strong plus. Company : Introducing Rylo: a powerful little camera that shoots larger-than-life 360º video.

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 ...

Apple, Inc.

SW ML Optimization Engineer

Cupertino, CA · On-site

Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or research. Experience with profiling/performance analysis tools ...

Apple

SW ML Optimization Engineer

Cupertino, CA · On-site

Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or research. Experience with profiling/performance analysis tools ...

Socket.dev

SW ML Optimization Engineer

Cupertino, CA · On-site

$180 - $240/hr

Experience with GPU or parallel programming--e.g., Metal, OpenCL, CUDA, or similar--through coursework, personal projects, internships, or research. * Experience with profiling/performance analysis ...

New

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques. * Evaluate and implement performance improvements using NVIDIA GPU technologies ...

Jobtailor

Solutions Architect, AI and ML

California, MO · On-site

$130 - $180/hr

Familiarity with parallel programming and distributed computing platforms is a differentiator Core Competencies Demonstrates expertise in building and deploying AI/ML solutions using NVIDIA ...

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How much do parallel programming jobs pay per year?

As of Aug 20, 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 parallel programming?

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 parallel programming, 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 August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,762 per year, or $53.3 per hour.

Senior Developer Technology Engineer, Public Sector

Nvidia

Santa Clara, CA • Hybrid

$64 - $84.50/hr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are now seeking a Senior Developer Technology Engineer for the Public Sector!

NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in the federal ecosystem, including fields such as CFD, Electronic Design Automation, Graph Theory, Weather/Climate Modeling, and AI in HPC. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

What you'll be doing:

  • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications.

  • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.

  • Occasional travel from time to time for conferences and on-site visits with developers.

What we need to see:

  • Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field.

  • Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.

  • 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).

  • Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.

  • Passion for optimizing codes to run exceptionally fast through parallel programming.

Ways to stand out from the crowd:

  • Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A background with algorithm and architecture codesign is a plus.

  • Domain expertise in any of the following: electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data-science, network analysis, machine learning, or deep learning.

  • Experience in profiling and optimizing applications and frameworks including experience with Nsight Systems and Nsight Compute.

  • Experience in developing or optimizing workflows involving HPC and AI models.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!NVIDIA is widely considered to be one of the world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and like making code run as fast as possible through a combination of critical thinking, profiling, and hardware and software knowledge, we want to hear from you

#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 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 August 9, 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

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