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Parallel Programming Jobs (NOW HIRING)

OxCaml is Jane Street's variant of the OCaml language, equipped with powerful features for high-performance and parallel programming, with data race freedom guarantees. This role involves the full ...

OxCaml is Jane Street's variant of the OCaml language, equipped with powerful features for high-performance and parallel programming, with data race freedom guarantees. This role involves the full ...

Software Engineer II (M/F/D)*

Grand Rapids, MI · On-site

$93K - $128K/yr

... parallel programming techniques. • Solid understanding of product versioning and source control practices. Company : TGW Logistics is a foundation-owned company headquartered in Austria and a ...

Senior Software Engineer

Sudbury, MA

$128K - $168K/yr

... Parallel programming, SW Architecture Multiple Scripting languages. Preferred: JavaScript, Python, and Ruby Qt/QML Framework Experience managing the work of a technical team and direct reports ...

Principal Software Engineer

Sudbury, MA

$141K - $189K/yr

... Parallel programming, SW Architecture Multiple Scripting languages. Preferred: JavaScript, Python, and Ruby Qt/QML Framework Experience managing the work of a technical team and direct reports ...

Senior Developer Technology Engineer

Santa Clara, CA · Hybrid

$64 - $84.50/hr

A background that includes parallel programming, ideally CUDA C/C++. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals.

C++ Developer

Irvine, CA · On-site

$52 - $70/hr

... and parallel programming • Strong knowledge of object-oriented design principles and STL • Good understanding of Windows architecture and backend systems • Excellent problem-solving and ...

Understanding of distributed systems, networking, and parallel programming Benefits * Full medical, dental, and vision packages, with 100% of premium covered * Housing subsidy of $2,000/month for ...

Senior Developer Technology Engineer

New York, NY · Hybrid

$59.50 - $78.75/hr

A background that includes parallel programming, ideally CUDA C/C++. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals.

Senior Software Engineer

Sudbury, MA · On-site

$140K - $175K/yr

... Parallel programming, SW Architecture • Multiple Scripting languages. Preferred: JavaScript, Python, and Ruby • Qt/QML Framework • Experience managing the work of a technical team and direct ...

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

... Parallel programming, SW Architecture · Multiple Scripting languages. Preferred: JavaScript, Python, and Ruby · Qt/QML Framework · Experience managing the work of a technical team and direct ...

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Parallel Programming information

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$81K

$110.8K

$130K

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.

More about Parallel Programming jobs
What cities are hiring for Parallel Programming jobs? Cities with the most Parallel Programming job openings:
What are the most commonly searched types of Parallel Programming jobs? The most popular types of Parallel Programming jobs are:
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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.
Software Developer (3793)

Software Developer (3793)

Navarro Inc.

Niskayuna, NY

Other

Re-posted 26 days ago


Job description

Navarro Research and Engineering is recruiting a Software Developer in Niskayuna, NY. A DOE L Clearance (or DOD equivalent) is required to be considered for this position.

Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.

The Core Analysis Process System (CAPS) Project is looking to hire a software developer with a passion for developing and implementing complex software solutions for scientific and engineering problems on high performance supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project is focused on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions. Depending on the background of the individual, near-term work assignments may include designing, developing, testing, verifying, and maintaining engineering software or porting engineering software to modern computing architectures. Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system administrator groups. Particular application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science.

Desired Knowledge, Skills, and Abilities

Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux) Experience with Java Swing Experience with Graphical User Interface Parallel programming and running parallel jobs on supercomputing systems Experience functioning within an agile development methodology Ability to work effectively across multiple projects simultaneously Demonstrated ability and passion for developing scientific software Capacity to work independently, as well as within interdisciplinary teams with minimal supervision