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High Performance Computing Engineer Jobs (NOW HIRING)

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High Performance Computing Engineer information

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

As of Jul 11, 2026, the average hourly pay for 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.

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

To thrive as a High Performance Computing (HPC) Engineer, you need a strong background in computer science, parallel programming, and distributed systems, typically supported by a relevant degree. Familiarity with HPC clusters, Linux/Unix environments, programming languages like C/C++ or Python, and tools such as MPI, OpenMP, and job schedulers is essential. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing system performance and collaborating with researchers or end-users. These abilities ensure efficient computational solutions, maximize resource utilization, and drive innovation in data-intensive scientific or engineering projects.

What is a High Performance Computing Engineer?

A High Performance Computing (HPC) Engineer is a specialist who designs, builds, and maintains advanced computing systems that deliver exceptional processing power for complex computational tasks. These professionals optimize hardware and software environments to support scientific research, large-scale simulations, and data-intensive applications. They work with supercomputers, clusters, and cloud HPC resources, ensuring high efficiency, scalability, and reliability. HPC Engineers also support researchers and organizations in maximizing the performance of their computing infrastructure.

What are some common challenges High Performance Computing Engineers face when optimizing system performance?

High Performance Computing Engineers often encounter challenges such as balancing resource allocation, managing workload distribution, and minimizing system bottlenecks. They must ensure that hardware and software components interact efficiently, which can require deep knowledge of parallel computing, networking, and storage systems. Additionally, staying up-to-date with rapidly evolving technologies and troubleshooting complex performance issues are integral parts of the role. Collaborating closely with researchers and IT teams is essential to tailor solutions that meet specific computational needs.

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

AspectHigh Performance Computing EngineerData Scientist
Required CredentialsBachelor's or master's in computer science, engineering, or related fields; knowledge of parallel computingBachelor's or master's in data science, statistics, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageSupercomputing, scientific research, simulationsData analysis, machine learning, predictive modeling

High Performance Computing Engineers focus on developing and optimizing large-scale computing systems for scientific and technical applications, while Data Scientists analyze data to extract insights. Both roles require programming skills and work in tech-driven environments, but their core objectives differ: system performance versus data analysis.

What are the most commonly searched types of High Performance Computing Engineer jobs? The most popular types of High Performance Computing Engineer jobs are:
What states have the most High Performance Computing Engineer jobs? States with the most job openings for High Performance Computing Engineer jobs include:
What job categories do people searching High Performance Computing Engineer jobs look for? The top searched job categories for High Performance Computing Engineer jobs are:
Infographic showing various High Performance Computing Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
High Performance Computing (HPC) AI Engineer

High Performance Computing (HPC) AI Engineer

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Posted 4 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

16th of 881 rated healthcare providers


Job description


NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a High Performance Computing (HPC) AI Engineer.
The High Performance Computing (HPC) AI Engineer will leverage technical expertise to bridge the gap between traditional high-performance computing and modern artificial intelligence workloads. Reporting to the Director of the NYULH HPC Facility, this role is critical to supporting the computational needs of world-class researchers in both clinical and basic science at NYU Langone Health (NYULH). The AI Engineer will focus on managing HPC development tools, optimizing AI applications, and seamlessly integrating AI frameworks with our broader computing infrastructure, including the UltraViolet supercomputer and our specialized GPU clusters.
Job Responsibilities:
  • Deploy, manage, and optimize HPC development tools and software stacks tailored for machine learning, deep learning, and data science workloads.
  • Lead the integration of HPC systems with enterprise AI frameworks and manage scalable AI model hosting and serving environments.
  • Benchmark, troubleshoot, and optimize AI application performance across our hardware infrastructure, ensuring efficient utilization of computational resources.
  • Develop and deliver specialized training sessions, tutorials, and workshops on AI model development, deployment, and optimization within an HPC environment.
  • Create and maintain comprehensive technical documentation, user guides, and best practices for AI development workflows and tools.
  • Collaborate with scientists, principal investigators, and software engineers to deploy customized, scalable AI solutions for complex research challenges.
  • Monitor AI job queues and system performance within resource management and scheduling systems to ensure equitable resource distribution.
  • Consult with researchers to assess AI computational needs, assisting with project execution, pipeline optimization, and resource planning.

Minimum Qualifications:
To qualify you must have a Bachelors Degree Required.
5 Years of relevant experience.
Demonstrated understanding of parallel storage engineering and systems administration
Advanced skills with large-scale parallel file systems and storage tiering
Experience with SMB and NFS network storage protocols
Experience with Linux/UNIX operating systems and bash scripting
Extensive knowledge of ethernet, Infiniband, and fiber channel networking
Experience with scripting languages such as Bash, Python, or Lua
Preferred Qualifications:
- Experience supporting AI-driven research computing in biomedical, life sciences, or clinical environments.
- Familiarity with Large Language Models (LLMs), fine-tuning techniques, and Retrieval- Augmented Generation (RAG) pipelines.
- Knowledge of security best practices, including the handling of Protected Health Information (PHI) when training or hosting models.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 - $140,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here

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