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Parallel Computing Software Engineer Jobs (NOW HIRING)

Experience with GPU programming (CUDA, OpenCL) or parallel computing. * Knowledge of networking protocols and distributed systems. * Exposure to machine learning frameworks (TensorFlow, PyTorch) or ...

Experience with GPU programming (CUDA, OpenCL) or parallel computing. * Knowledge of networking protocols and distributed systems. * Exposure to machine learning frameworks (TensorFlow, PyTorch) or ...

Experience with GPU programming (CUDA, OpenCL) or parallel computing. * Knowledge of networking protocols and distributed systems. * Exposure to machine learning frameworks (TensorFlow, PyTorch) or ...

... systems, parallel computing, or GPU acceleration • Exposure to STA, EDA, or digital design ... software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988 ...

Experience with GPU programming (CUDA, OpenCL) or parallel computing. * Knowledge of networking protocols and distributed systems. * Exposure to machine learning frameworks (TensorFlow, PyTorch) or ...

Senior Software Engineer, molab

Manhattan, NY · On-site

$134K - $177K/yr

Required : • 5+ years of experience in software engineering • Strong fundamentals that are language agnostic • Experience with computer systems, including parallel computing (threading ...

Mentor software engineers and provide technical leadership across multiple development teams ... Experience with GPU programming using CUDA or other parallel computing frameworks. * Experience ...

New

Mentor software engineers and provide technical leadership across multiple development teams ... Experience with GPU programming using CUDA or other parallel computing frameworks. * Experience ...

New

Mentor software engineers and provide technical leadership across multiple development teams ... Experience with GPU programming using CUDA or other parallel computing frameworks. * Experience ...

New

... parallel computing contexts • Proficiency with Git and collaborative development workflows across distributed teams • Proficiency in Fortran and C/C++ for performance-critical code development ...

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Parallel Computing Software Engineer information

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$31.5K

$125.2K

$185.5K

How much do parallel computing software engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for parallel computing software engineer in the United States is $125,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $146,500.00 per year, depending on experience, location, and employer.

What Is the Job of a Parallel Computing Software Engineer?

A parallel computing software engineer develops and updates high-performance computing software and tools to increase their efficiency. In this career, you focus on both parallel computing and parallel programming software to solve complex problems or algorithms. More specific duties and responsibilities of this job may revolve around the development of new or improved software to optimize multi-threaded systems or artificial intelligence data. As a parallel computing software engineer, you generally work on a team to build state-of-the-art technology to bring your company's systems to the forefront of the industry. The industries that use parallel computing include engineering, aircraft computing, and government agencies.

What are Parallel Computing Software Engineers?

Parallel Computing Software Engineers are professionals who design, develop, optimize, and maintain software that can run simultaneously on multiple processors or computers. Their work enables applications to process large volumes of data or perform complex computations more efficiently by splitting tasks across multiple processing units. They often use technologies such as multi-threading, distributed computing frameworks, and GPU programming to maximize performance. These engineers are crucial in fields like scientific computing, artificial intelligence, and big data analytics, where processing speed and scalability are essential.

What are the typical daily responsibilities of a Parallel Computing Software Engineer?

As a Parallel Computing Software Engineer, your daily tasks often include designing, developing, and optimizing algorithms to run efficiently on multi-core processors or distributed systems. You’ll collaborate closely with other software engineers, data scientists, and hardware specialists to ensure applications scale effectively across multiple computing nodes. Debugging and profiling code to identify bottlenecks, maintaining high code quality, and keeping up-to-date with the latest parallel programming models and frameworks are also key parts of the role. Additionally, you may participate in code reviews and help train team members on best practices for parallelism.

What are the key skills and qualifications needed to thrive as a Parallel Computing Software Engineer, and why are they important?

To thrive as a Parallel Computing Software Engineer, you need a solid background in computer science, strong programming skills (especially in C/C++ or Python), and expertise in parallel algorithms and data structures, typically supported by a relevant degree. Familiarity with parallel programming frameworks and tools such as MPI, OpenMP, CUDA, and experience working on distributed systems or high-performance computing platforms are essential. Strong problem-solving abilities, teamwork, and effective communication help you to collaborate on complex projects and convey technical ideas clearly. These skills are crucial for building scalable, efficient software solutions that leverage parallelism to maximize computational performance.
What states have the most Parallel Computing Software Engineer jobs? States with the most job openings for Parallel Computing Software Engineer jobs include:
What job categories do people searching Parallel Computing Software Engineer jobs look for? The top searched job categories for Parallel Computing Software Engineer jobs are:
What are popular job titles related to Parallel Computing Software Engineer jobs? For Parallel Computing Software Engineer jobs, the most frequently searched job titles are:
Infographic showing various Parallel Computing Software Engineer job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,213 per year, or $60.2 per hour.
High Performance Computing Software Engineer (Scientist 3)

High Performance Computing Software Engineer (Scientist 3)

Los Alamos National Laboratory

Los Alamos, NM

$128K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 105 rated laboratories


Job description

What You Will Do
The Eulerian Codes Group (XCP-2) is looking for exceptional candidates to develop and optimize cutting-edge algorithms for massively parallel multi-physics codes on heterogeneous high-performance computing platforms. XCP-2 staff span a wide range of computational physics disciplines including software engineering, numerical fluid and solid mechanics, materials science, radiation hydrodynamics, plasma physics, turbulence, magnetohydrodynamics, high explosives, nuclear physics and engineering, and neutral and charged particle transport. The duties of our well-compensated professionals include research and development of applied physics and engineering models, the implementation of these methods into production codes using excellent software development practices, the testing and validation of these methods, and the education and support of users as they adopt these methods.

What You Need
Minimum Job Requirements:

Technical Knowledge
Demonstrated advanced-level expertise and leadership experience in software modernization and performance optimization.
High Performance Computing
Proven expertise in developing and implementing massively parallel numerical simulations, with demonstrated experience deploying numerical algorithms across heterogeneous computing architectures
Software Engineering & Design
Recognized proficiency with modern C++. Applicants with experience in Fortran and C languages and the development of multi-physics scientific codes, including software engineering practices and user support, will be given preference.
Collaboration
Teamwork is essential to the success of our group. As such you will need to have demonstrated the ability to function effectively in a team environment with a willingness to learn new skills and be flexible in work assignments. This includes exhibiting professional conduct in interactions with co-workers and supervisors.
Mentorship
At this level you will be expected to have experience mentoring students, postdocs and/or more junior staff.
Funding & Project Management
Proven track record of securing and expanding funding for small to medium-sized projects, with demonstrated experience successfully leading such projects from inception to completion.
Education/Experience: Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.
Desired Qualifications:
Master of Science degree in Applied Mathematics, Physics, Engineering, or closely related discipline preferred.
C++ Expertise
Proficiency in advanced C++ techniques (template metaprogramming, compile-time programming) and C++ standards knowledge strongly preferred.
Mission Focus
Experience working within LANL's research environment and demonstrated impact on nuclear weapons program deliverables strongly preferred.
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Applicants should submit a CV/Resume and cover letter. The cover letter should be composed of a one-page career narrative followed by a bulleted list of the applicant's relevant experience for each requirement.
Contact: Brandon Smith (bmsmith@lanl.gov)
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.

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