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Hpc Software Engineer Jobs (NOW HIRING)

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

The HPC Software Engineer will design, implement, and optimize parallel programming methods within simulation software, collaborating with experts to enhance performance and scalability across ...

Red Arch Solutions

HPC Software Engineer

Annapolis, MD · On-site

$188K - $196K/yr

The HPC Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software for HPC (high performance computing) systems based upon documented ...

GIGATEC

HPC Software Engineer

Annapolis Junction, MD · On-site

$235K - $265K/yr

We are seeking HPC Software Engineer who wish to accelerate their skills and focus on tackling the most difficult challenges of the US Government, in one of the most exciting areas of the mission ...

Apply Early

vetegrity

HPC Software Engineer

Annapolis Junction, MD · On-site

The HPC Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software for HPC (high performance computing) systems based upon documented ...

Apply Early

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Hpc Software Engineer information

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How much do hpc software engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for hpc software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the common challenges faced by HPC Software Engineers when optimizing code for high-performance computing clusters?

HPC Software Engineers often encounter challenges such as ensuring code scalability across thousands of nodes, optimizing for memory and bandwidth limitations, and dealing with hardware heterogeneity. Debugging and profiling parallel programs can be complex, as issues may not manifest in small-scale tests but appear at larger scales. Collaborating closely with domain scientists and system administrators is essential to balance performance with portability and maintainability across diverse HPC environments.

What are the key skills and qualifications needed to thrive as an HPC Software Engineer, and why are they important?

To thrive as an HPC Software Engineer, you need strong programming skills in languages like C/C++, Python, and parallel computing concepts, often supported by a degree in computer science or a related field. Familiarity with high-performance computing frameworks (such as MPI and OpenMP), GPU programming (CUDA/OpenCL), and experience with Linux environments are typically required, along with relevant certifications being advantageous. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex scientific or engineering projects. These competencies ensure efficient development, optimization, and maintenance of scalable, high-performance applications critical to research and industry.

What is the difference between Hpc Software Engineer vs Software Developer?

AspectHpc Software EngineerSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, experience with HPC systemsBachelor's or higher in Computer Science or related field
Work EnvironmentHigh-performance computing clusters, scientific research labsVarious industries, including tech, finance, startups
Employer & Industry UsageResearch institutions, scientific organizations, tech companies with HPC needsBroad industry use, from startups to large corporations
Common Search & ComparisonOften compared for specialized computing rolesMore general software development roles

Hpc Software Engineers focus on developing and optimizing software for high-performance computing systems, often working in scientific or research environments. Software Developers have a broader scope, creating applications across various industries. While both roles require programming skills, Hpc Software Engineers need specialized knowledge of HPC architectures and parallel computing.

What is an HPC Software Engineer?

An HPC (High Performance Computing) Software Engineer is a specialist who designs, develops, and optimizes software to run efficiently on supercomputers and large computing clusters. They work with parallel programming, performance tuning, and complex algorithms to solve computationally intensive problems in fields like scientific research, engineering, and data analysis. Their responsibilities also include adapting software to leverage the capabilities of advanced hardware architectures, such as GPUs and distributed systems.
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HPC Software Engineer

HPC Software Engineer

Synopsys Inc

Canonsburg, PA • On-site

Full-time

Posted 22 days ago

Key responsibilities

  • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models, and other HPC frameworks.

  • Profile solver performance across CPU and GPU architectures and translate findings into actionable performance improvements.

  • Build and maintain code benchmarking suites to track solver performance across releases and catch regressions before they ship.

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.
Synopsys logo

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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