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Internship High Performance Computing Engineer Jobs in New York

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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:
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What cities in New York are hiring for Internship High Performance Computing Engineer jobs? Cities in New York with the most Internship High Performance Computing Engineer job openings:
High Performance Computing (HPC) AI Engineer

High Performance Computing (HPC) AI Engineer

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Posted 10 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

15th of 886 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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