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Internship High Performance Computing Engineer Jobs in New York

Infrastructure Engineer

Manhattan, NY · On-site

$118K - $155K/yr

Client: Turing Role: End User Computing Engineer - AI Tools Enablement Location: NYC (Onsite ... performance, compatibility, access, and endpoint configurations · Manage application deployment ...

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

You will work closely with engineering, product, and commercial teams to help customers understand ... Monitor industry trends across photonics, high-performance computing, and optimization technologies.

Test Engineer About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

Engineering Reports to: FPGA Engineering Manager About Us: Quantum Computing Inc. (QCi) (Nasdaq ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

We are looking for an experienced End User Computing Engineer with strong expertise in endpoint ... Troubleshoot AI tool issues related to performance, compatibility, access, and endpoint ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are the most commonly searched types of High Performance Computing Engineer jobs in New York? The most popular types of High Performance Computing Engineer jobs in New York are:
What are popular job titles related to Internship High Performance Computing Engineer jobs in New York? For Internship High Performance Computing Engineer jobs in New York, the most frequently searched job titles are:
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High Performance Computing (HPC) Systems Administrator

High Performance Computing (HPC) Systems Administrator

NYU Langone Health

Manhattan, NY

Full-time

Medical, Retirement

Posted 8 days ago


NYU Langone Health rating

8.6

Company rating: 8.6 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

11th of 870 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) Systems Administrator.
The High Performance Computing (HPC) Systems Administrator will leverage technical expertise to collaborate with the HPC team, scientists, and software engineers in supporting the computational needs of world-class researchers in both clinical and basic science at NYU Langone Health (NYULH). Reporting to the Director of the NYULH HPC Facility, the Systems Administrator will work closely with facility staff, principal investigators, research labs, core facilities, individual scientists, and students.  Primary responsibilities include system administration, system monitoring, troubleshooting, software maintenance, installations, and optimization of advanced computing systems and related infrastructure.

Job Responsibilities:

  • Deploy, administer, and monitor Linux-based HPC clusters and petascale storage 
    systems.
  • Install, maintain, and upgrade scientific software, libraries, and licensed 
    applications.
  • Troubleshoot and resolve system, hardware, and application issues across HPC 
    environments.
  • Develop and maintain scripts for system administration, monitoring, reporting, and 
    data pipeline optimization.
  • Provide technical support to researchers; assist with project execution, 
    benchmarking, and resource planning.
  • Research, deploy, and optimize resource management and scheduling systems 
    (e.g., batch systems).
  • Evaluate and manage a helpdesk ticketing system; ensure timely resolution of user-submitted issues.
  • Integrate HPC systems with laboratory equipment such as DNA sequencers, mass 
    spectrometers, and Cryo-Electron Microscopes.
  • Implement and manage HPC security infrastructure; ensure compliance with PHI 
    handling policies and best practices.
  • Create and maintain technical documentation and user guides.
    Develop and deliver training sessions and workshops on HPC usage and best 
    practices.
  • Consult with researchers to assess computational needs and prepare resource 
    planning reports.
  • Support grant proposal development with technical specifications for 
    computational infrastructure. 

Minimum Qualifications:
To qualify you must have a Bachelor's degree in Computer Science, Engineering, Physics, Bioinformatics, or a related field (or equivalent experience).
3+ years of experience administering Linux systems, HPC clusters, and large-scale storage solutions.
Proficiency in scripting languages such as Bash, Python, or Perl for system administration and automation.
Experience with job scheduling systems (e.g., Slurm, PBS, LSF) and resource management tools.
Strong troubleshooting skills across system, hardware, network, and application layers.
Familiarity with scientific software installation, configuration, and maintenance.
Knowledge of security best practices, including the handling of Protected Health Information (PHI) in research environments.
Excellent communication and documentation skills; ability to support and train non-expert users.

Preferred Qualifications:
Experience supporting research computing in biomedical or clinical environments.
Familiarity with data transfer optimization tools (e.g., Globus, Aspera) and parallel file systems (e.g., GPFS, Lustre, BeeGFS).
Experience integrating HPC resources with laboratory instruments (e.g., DNA sequencers, mass spectrometers, microscopes).
Experience developing and delivering technical training, tutorials, or workshops.
Knowledge of grant writing processes and preparing computational resource justifications.
Experience with containerization technologies (e.g., Singularity, Docker) in HPC environments.

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 $84,577.93 - $145,897.01 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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