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Hpc Engineer Jobs (NOW HIRING)

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

HPC Operations Engineer

New York, NY · On-site

$76K - $102K/yr

  • PTO

You will sit inside the HPC team, next to the engineers who build and run the platform. That proximity matters: your diagnostics feed their root-cause work, your runbooks capture what the team learns ...

HPC Operations Engineer

New York, NY

$76K - $102K/yr

  • PTO

You will sit inside the HPC team, next to the engineers who build and run the platform. That proximity matters: your diagnostics feed their root-cause work, your runbooks capture what the team learns ...

HPC Software Engineer

Annapolis Junction, MD · On-site

  • Medical

  • Retirement

  • PTO

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 ...

Senior HPC DevOps Engineer

College Park, MD · On-site

$128K - $165K/yr

... Engineer to manage the operations and automation lifecycle for a HPC/AI compute cluster, focusing on automation workflows and incident response. Responsibilities : • Automation ownership: Own and ...

HPC DevOPs Engineer (AWS GovCloud)

$54 - $74/hr

RIT Solutions, Inc. is seeking an HPC tooling engineer to support a highly secure deployment project within AWS GovCloud. The role focuses on infrastructure engineering, secure landing zone design ...

Senior HPC DevOps Engineer

College Park, MD · On-site

$128K - $165K/yr

... Engineer to own the operations and automation lifecycle for an existing HPC/AI compute cluster (Linux). You will work closely with Peraton team members, as well as directly with our Maryland-based ...

HPC Technical Lead

Gaithersburg, MD · Hybrid

$211K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Computer Science, Engineering, Mathematics, or related technical field. * Year's Experience: 10-12+ years of experience in HPC engineering, scientific computing, bioinformatics ...

HPC Data Center Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

HPC Data Center Production Engineer Location: Chicago or New York (On-site 5 days/week) Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics ...

HPC Data Center Developer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

HPC Data Center Production Engineer Location: Chicago or New York (On-site 5 days/week) Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics ...

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How much do hpc engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for hpc engineer in the United States is $107,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What does an HPC engineer do?

An HPC (High-Performance Computing) Engineer designs, deploys, and optimizes high-performance computing systems used for intensive computational tasks. They work with parallel computing, cluster management, and performance tuning to ensure efficient processing of large-scale simulations, data analysis, and scientific research. Their role often involves configuring hardware, optimizing software, and troubleshooting issues to maximize system performance.

What are the key skills and qualifications needed to thrive as an HPC engineer?

To thrive as an HPC Engineer, you need a solid background in computer science, mathematics, or a related field, with expertise in parallel computing, Linux systems, and high-performance cluster management. Proficiency with job schedulers (like SLURM or PBS), programming languages such as C/C++ or Python, and experience with distributed file systems are highly valuable, and certifications in relevant areas can enhance your qualifications. Strong problem-solving, collaboration, and communication skills help you work efficiently within technical teams and explain complex concepts to non-experts. These skills and qualities are essential for ensuring high performance, reliability, and scalability of computing systems in scientific and enterprise settings.

What are some of the common challenges faced by HPC engineers in their day-to-day work?

HPC Engineers often encounter challenges such as optimizing performance for complex workloads, troubleshooting system failures, and efficiently managing large-scale infrastructures. You may be required to balance the needs of multiple users and projects, quickly address hardware or software issues, and stay ahead of evolving technologies. Collaboration with researchers, IT staff, and software developers is key to designing robust solutions. Overcoming these challenges helps improve computational efficiency and supports critical research and business objectives.

Are HPC engineers in demand?

HPC (High-Performance Computing) engineers are in high demand due to the increasing need for advanced computing in fields like scientific research, data analysis, and artificial intelligence. Employers seek professionals skilled in parallel programming, cluster management, and tools such as Linux and MPI, often requiring relevant certifications and experience with large-scale systems.

How much do HPC engineers make in the US?

HPC (High-Performance Computing) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in parallel computing, cluster management, or specific tools like MPI or CUDA can earn higher salaries.
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Infographic showing various Hpc Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $107,956 per year, or $51.9 per hour.

HPC Software Engineer

Synopsys Inc

Canonsburg, PA • On-site

Full-time

Re-posted 12 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.

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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