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How much do freelance high performance computing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for freelance high performance computing in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

AspectFreelance High Performance ComputingFreelance Data Scientist
Required CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of parallel computing and HPC toolsDegree in data science, statistics, or related fields; proficiency in programming, statistics, and machine learning
Work EnvironmentTypically involves working with supercomputers, clusters, and specialized hardwarePrimarily works with data analysis platforms, cloud services, and programming languages like Python or R
Employer & Industry UsageUsed by research institutions, government labs, and tech companies for scientific simulations and large-scale computationsEmployed across industries for data analysis, predictive modeling, and business intelligence projects

While both roles require strong technical skills and programming knowledge, Freelance High Performance Computing focuses on optimizing and managing large-scale computational resources, whereas Freelance Data Scientist centers on analyzing data to extract insights. The choice depends on your expertise in hardware and parallel processing versus data analysis and modeling.

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What are the most commonly searched types of High Performance Computing jobs? The most popular types of High Performance Computing jobs are:
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Freelance High Performance Computing jobs near you
Infographic showing various Freelance High Performance Computing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Principal Software Engineer - High Performance Computing

JPMorgan Chase & Co.

Seattle, WA • On-site

$204K - $285K/yr

Full-time

Medical, Retirement

Re-posted 17 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.
As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ML. Thus, you are collaborative-especially since you will work closely with cross-functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low-latency; other times driven by throughput or low power.
Job 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'stechnical, 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

Required qualifications, capabilities, and skills
  • 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 qualifications, capabilities, and skills
  • 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.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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