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High Performance Computing Ai Jobs (NOW HIRING)

Byrne Dairy

NY · On-site

$100 - $125/hr

The Center for Advanced Computing (CAC) at Cornell University seeks a senior systems administrator to design, deploy, and manage high performance computing (HPC) clusters and servers. Well-qualified ...

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High Performance Computing Ai information

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$40K

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$153.5K

How much do high performance computing ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for high performance computing ai in the United States is $99,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What is high performance computing in AI?

High Performance Computing (HPC) in AI refers to the use of powerful computers and clusters to process and analyze large volumes of data at high speeds, enabling complex artificial intelligence and machine learning tasks. HPC systems provide the computational power required to train deep learning models, run large-scale simulations, and handle big data analytics that are beyond the capability of standard computers. This technology is essential for accelerating AI research and applications in fields like healthcare, finance, and scientific research.

What are the key skills and qualifications needed to thrive as a high performance computing AI specialist?

To thrive as a High Performance Computing AI specialist, you need expertise in parallel computing, deep learning frameworks, and a strong background in computer science or related fields, often with an advanced degree. Familiarity with tools such as CUDA, MPI, distributed computing systems, and certifications like NVIDIA Deep Learning Institute credentials are highly valued. Strong analytical thinking, collaboration, and problem-solving abilities set top professionals apart in this field. These skills are essential to optimize AI workloads, innovate scalable solutions, and ensure efficient resource utilization in complex computing environments.

What are common challenges high performance computing AI professionals face when optimizing AI workloads on supercomputers?

One of the main challenges for HPC AI professionals is efficiently scaling AI workloads across thousands of computing nodes while minimizing bottlenecks in data movement and network communication. Balancing the needs of deep learning models with the architecture of HPC systems often requires customizing software libraries and optimizing parallelization strategies. Additionally, integrating AI workflows with traditional simulation or modeling workloads can be complex, requiring strong collaboration with domain scientists and IT teams. Staying current with rapidly evolving hardware and software tools is also essential for success in this role.

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

AspectHigh Performance Computing AiData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with AI and HPC toolsBachelor's or higher in Statistics, Computer Science, or related fields; proficiency in data analysis and programming
Work EnvironmentResearch labs, tech companies, supercomputing centers focusing on AI workloadsBusiness, finance, healthcare, or tech sectors analyzing large datasets
Employer & Industry UsageOrganizations developing AI models using high-performance computing resourcesOrganizations extracting insights from data to inform decisions

High Performance Computing AI specialists focus on developing and optimizing AI models utilizing supercomputing resources, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but HPC AI emphasizes parallel computing and AI infrastructure, whereas Data Scientists focus on statistical analysis and data visualization.

What are popular job titles related to High Performance Computing Ai jobs?

For High Performance Computing Ai jobs, the most frequently searched job titles are:

Infographic showing various High Performance Computing Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $99,528 per year, or $47.9 per hour.

Principal Software Engineer - High Performance Computing

Jersey City, NJ • On-site

J.P. Morgan
Banking and Credit Intermediation • 10K+ employees
Learn more about J.P. Morganexternal

$140K - $188K/yr

Full-time

Medical, Retirement

Posted 10 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as part of an agile team to enhance, build, and deliver trusted technology products in a secure, stable, and scalable way. You will collaborate with engineers, data scientists, and product partners, mentor other developers, and help teams make informed tradeoffs across low-latency, throughput, and efficiency - grounded in telemetry and operational outcomes.

Job responsibilities

  • Design and implement complex, scalable software frameworks using appropriate architecture patterns
  • Develop secure, high-quality production code; review, debug, and improve code written by other engineers
  • Lead technical design reviews and advise cross-functional partners on solutions within your domain of expertise
  • Create reusable performance patterns and benchmarking approaches to optimize model training and inference across compute architectures
  • Define and use telemetry and measurable performance indicators to guide hardware and software decisions
  • Mentor and enable the developer community in high-performance computing (HPC) practices that intersect with artificial intelligence/machine learning (AI/ML)
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 10+ 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 in-depth expertise in one or more disciplines (for example, large language models, high-performance computing)
  • 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
  • Strong programming skills in Python and at least one systems language (C or C++), plus experience with AI/ML frameworks such as PyTorch
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred qualifications, capabilities and skills

  • PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline).
  • Practical cloud native experience
  • Hands-on experience with CUDA for GPU programming and performance optimization preferred
  • Experience in large organizations and regulated industries is a plus
  • Excellent communication skills and the ability to work collaboratively in a dynamic team environment

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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