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Mpi Parallel Programming Jobs (NOW HIRING)

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

Responsibilities : • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other ...

ConfigUSA

CUDA Programmer

Waukesha, WI · On-site

Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA ... Familiarity with multi-GPU programming and communication frameworks (NCCL, MPI). * Exposure to ...

Nvidia

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143.90K - $189.70K/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

$142.80K - $188.20K/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 ...

Synopsys Inc

R&D Developer (P2)

Canonsburg, PA · On-site

... with parallel programming (threads and MPI). • Ability to navigate and modernize large-scale legacy systems and complex codebases. • Excellent communication skills and a collaborative, team ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

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

Cymertek

HPC Software Engineer

Reston, VA · On-site

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

Nvidia

OR · Hybrid

$54.50 - $72/hr

... 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 ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

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

Cymertek

HPC Software Engineer

Tysons, VA · On-site

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

Cymertek

HPC Software Engineer

Annapolis, MD · On-site

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

Cymertek

HPC Software Engineer

Annapolis Junction, MD · On-site

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

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Mpi Parallel Programming information

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$44.5K

$70.9K

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How much do mpi parallel programming jobs pay per year?

As of Jun 4, 2026, the average yearly pay for mpi parallel programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is the difference between Mpi Parallel Programming vs OpenCL Developer?

AspectMpi Parallel ProgrammingOpenCL Developer
Required CredentialsBachelor's in Computer Science or related field, knowledge of MPI librariesBachelor's in Computer Science, experience with OpenCL and GPU programming
Work EnvironmentHigh-performance computing clusters, scientific research labsGPU-enabled systems, hardware acceleration environments
Industry UsageScientific computing, simulations, research institutionsGraphics, parallel computing, hardware acceleration industries

While both Mpi Parallel Programming and OpenCL Developer roles involve parallel computing, Mpi focuses on distributed memory systems for large-scale scientific applications, whereas OpenCL developers work on GPU and hardware acceleration tasks. The roles overlap in parallel processing skills but differ in application focus and environment.

Infographic showing various Mpi Parallel Programming job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $70,857 per year, or $34.1 per hour.
HPC Software Engineer

HPC Software Engineer

Synopsys Inc

Canonsburg, PA • On-site

Full-time

Posted 25 days ago

Job description

Job Summary:
Synopsys Inc is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. The HPC Software Engineer will design, implement, and optimize parallel programming methods within simulation software, collaborating with experts to enhance performance and scalability across industries.
Responsibilities:
• Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other HPC frameworks
• Profile solver performance across CPU and GPU architectures using tools like Intel VTune, NVIDIA Nsight, or similar, and translate findings into actionable performance improvements
• Build and maintain code benchmarking suites that track solver performance across releases and catch regressions before they ship
• Drive adoption of modular, hardware-agnostic HPC programming models across multiple solver codebases, working with development teams to ensure consistency and reusability
• Collaborate with numerical methods experts to translate complex algorithmic requirements into performant, maintainable software designs
• Support procurement, configuration, and management of HPC development and testing platforms, including on-premise clusters and cloud-based environments
• Own packaging, build system work, and DevOps tooling using CMake, Azure DevOps, Conan, Docker, or CI/CD pipelines to streamline deployment and testing workflows
• Reduce solve times for engineering simulations used by leading companies across automotive, aerospace, energy, and electronics industries
• Enable customers to run larger, more complex models by making solvers scale efficiently across hundreds or thousands of cores
• Accelerate the adoption of GPU computing in production simulation workflows, unlocking new performance tiers for users with modern hardware
• Improve developer productivity across multiple solver teams by building reusable HPC frameworks and shared tooling
• Ensure performance consistency and reliability across solver releases through rigorous benchmarking and regression testing
• Help shape the technical direction of Synopsys simulation products as HPC architectures and customer workloads continue to evolve
• Support faster iteration cycles for product development teams by streamlining build, test, and deployment infrastructure
Qualifications:
Required:
• Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related field with 2+ years of experience, or Master's degree in a related field.
• Strong hands-on experience with HPC software design, testing, and deployment in production or research environments
• Solid understanding of data structures, algorithms, and performance considerations in parallel computing contexts
• Proficiency with Git and collaborative development workflows across distributed teams
• Proficiency in Fortran and C/C++ for performance-critical code development
• Experience with MPI and distributed memory programming models
Preferred:
• PhD preferred.
• Experience with GPU hardware and at least one GPU programming model such as CUDA, HIP, SYCL/oneAPI, OpenMP, OpenACC, or Kokkos is a strong plus
Company:
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. Founded in 1986, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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