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Volunteer High Performance Computing Engineer Jobs

Cymertek

HPC Software Engineer

Tysons, VA · On-site

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

Citizenship) KEY SUMMARY We are seeking an innovative and driven HPC (High-Performance Computing) Software Engineer to develop and optimize software solutions for cutting-edge computational ...

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How much do volunteer high performance computing engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for volunteer high performance computing engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

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Volunteer High Performance Computing Engineer jobs near you
Infographic showing various Volunteer High Performance Computing Engineer job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 81% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.

Principal Software Engineer - High Performance Computing

JPMorganChase

Seattle, WA • On-site

$153K - $206K/yr

Full-time

Re-posted 24 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Principal Software Engineer within the Core Foundational Platforms team, you will provide expertise in high-performance computing, collaborating with cross-functional teams to enhance and deliver market-leading technology products.
Responsibilities:
• Creates complex and scalable coding frameworks using appropriate software design frameworks
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Advises cross-functional teams on technological matters within your domain of expertise
• Serves as the function’s technical, go-to subject matter expert
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences leaders and senior stakeholders across product, data science and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect
• Using telemetry, create measurable frameworks for deciding amongst hardware and software options
• Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
• Support developer community in learning lessons from high-performance computing (HPC) domain
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 7+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. LLMs, High-performance computing (HPC), etc.)
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
• Ability to present and effectively communicate with Senior Leaders and Executives
• Master’s Degree in Computer Science
• 8+ years of experience in high-performance computing software
• 5+ years of experience with at least one type of accelerator
• 3+ years of experience in deep learning, particularly large language models
• Deep familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
• Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain
Preferred:
• PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline)
• Practical cloud native experience
• Experience in large organizations and regulated industries is a plus
• Hands-on experience with CUDA for GPU programming and performance optimization preferred
• Excellent communication skills and the ability to work collaboratively in a dynamic team environment
• Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
• Experience in high‑performance computing within national labs or academic research environments, including large‑scale distributed systems and accelerator‑based workloads
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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