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Parallel Programming Jobs (NOW HIRING)

Seven Seven Software

Java Developer

New York, NY · On-site

$55.75 - $72.25/hr

Experience with Spring and knowledge of parallel programming concepts * Knowledge of Scala * Experience with MQ, SOAP, WSDL, REST * Experience with Git and Jira * Experience working in a large ...

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 ...

aui

Software Engineer III - UPDATED

Green Bank, WV · On-site +1

$46.75 - $63/hr

Implement scalable solutions leveraging modern parallel programming. * Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores. * Design modular, maintainable, and ...

Nvidia

Senior Software Engineer, NCCL

Santa Clara, CA

$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 ...

NVIDIA

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$142K - $188K/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 ...

Navarro Inc.

Software Developer (3793)

Niskayuna, NY · On-site

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 ...

aui

Software Engineer III - UPDATED

Green Bank, WV · On-site +1

$46.75 - $63/hr

Implement scalable solutions leveraging modern parallel programming. * Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores. * Design modular, maintainable, and ...

Jane Street

Compiler Engineer

New York, NY · On-site

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 ...

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Parallel Programming information

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How much do parallel programming jobs pay per year?

As of Jun 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 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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Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in the United States as of June 2026, with employment types broken down into 24% Full Time, 62% Part Time, and 14% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $110,762 per year, or $53.3 per hour.

Senior Software Developer (C++/Python, Geospatial)

Futran Tech Solutions Pvt. Ltd.

Bedminster, NJ • On-site

$55.50 - $73.50/hr

Full-time

Posted 24 days ago

Job description

Role: Senior Software Developer (C++/Python, Geospatial)
Location: Bedminster, NJ, New Jersey, US (5 days per week in the office)
Project Description:
This project will leverage huge data sets for extraction, pipelining and ETL focused on geospatial and vector type data sets. USGS type data will be used to develop target data sets using complex methods of manipulation. The position will require critical thinking beyond just core development. The right candidate will have a research mindset and ability to solution with minimal guidance and direction. The project requires a knowledge of distributed and parallel computing with ability to coordinate across multiple systems.
Responsibilities:
The responsibilities will include data processing (geospatial) and work on point cloud data sets. The developer will use Python for data processing and C++ libraries for development (i.e. data infrastructure). Requires critical thinking, solutioning problems and communicating effectively.
Mandatory Skills Description:
Navigation > Open Geospatial Consortium (OGC) formats (3D Tiles, MVT, WCS, WFS, WMS, WMTS), Python, Pandas, Navigation > GeoPandas, C++, Point Cloud, AWS Data Pipeline, Parallel Programming, Navigation > Geospatial Data Abstraction Library (GDAL), Navigation > Raster formats (ESRI Grid, GeoTIFF, JPEG 2000, NITF), VECTOR
Nice-to-Have Skills:
researcher mentality, critical thinking, out of box solutioning.
Steps of screening that will be held by client:
• 45 minute screening
• 3-4 hour block of technical interview
• 2-3 programming exercises
o Matrix computations
o Graph search
o Optimization on dynamic programming - most difficult

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