Demo

High Performance Computing (HPC) AI Engineer

NYU Langone
York, NY Full Time
POSTED ON 7/8/2026
AVAILABLE BEFORE 9/8/2026

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

Salary : $1,000 - $1,000,000

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a High Performance Computing (HPC) AI Engineer?

Sign up to receive alerts about other jobs on the High Performance Computing (HPC) AI Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$149,493 - $192,976
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at NYU Langone

  • NYU Langone Mineola, NY
  • NYU Langone Hospital—Long Island is a 591-bed university-affiliated medical center, which offers sophisticated diagnostic and therapeutic care in virtually... more
  • 4 Days Ago

  • NYU Langone York, NY
  • NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has re... more
  • 4 Days Ago

  • NYU Langone York, NY
  • 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 ... more
  • 4 Days Ago

  • NYU Langone Manhattan, NY
  • Board Certified/Board Eligible Dermatologist The NYU Grossman Long Island School of Medicine’s Division of Dermatology seeks to identify a full-time clinic... more
  • 4 Days Ago


Not the job you're looking for? Here are some other High Performance Computing (HPC) AI Engineer jobs in the York, NY area that may be a better fit.

  • Sigma Computing York, NY
  • About the Role At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions ... more
  • 4 Days Ago

  • Sigma Computing York, NY
  • About the Role At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions ... more
  • 1 Day Ago

AI Assistant is available now!

Feel free to start your new journey!