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Freelance High Performance Computing Engineer Jobs

Cymertek

HPC Software Engineer

Tysons, VA · On-site

Citizenship) KEY SUMMARYWe 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 SUMMARYWe 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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$53.5K

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$193.5K

How much do freelance high performance computing engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for freelance high performance computing engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

How do freelance High Performance Computing (HPC) Engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a Freelance High Performance Computing Engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a Freelance High Performance Computing Engineer, and why are they important?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

More about Freelance High Performance Computing Engineer jobs
What cities are hiring for Freelance High Performance Computing Engineer jobs? Cities with the most Freelance High Performance Computing Engineer job openings:
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Freelance High Performance Computing Engineer jobs near you
Infographic showing various Freelance High Performance Computing Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

Principal Software Engineer - High Performance Computing

JPMorganChase

Seattle, WA • On-site

$153K - $206K/yr

Full-time

Posted 12 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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