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Freelance High Performance Computing Engineer Jobs in New York

Staff Engineer High Performance Computing

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work with HPC engineers and scientific computing specialists to develop robust, scalable, high-performance cloud native infrastructure that underpins modernization of the scientific ...

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 ...

HPC Infrastructure Engineer - Travel role

New York, NY · On-site

$90K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure / High-Performance Computing (HPC) Support Engineer to join our growing team. This is a hands-on ...

HPC Infrastructure Engineer - Travel role

New York, NY

$90K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure / High-Performance Computing (HPC) Support Engineer to join our growing team. This is a hands-on ...

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Freelance High Performance Computing Engineer information

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

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

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

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

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

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 Freelance High Performance Computing Engineer jobs in New York?

For Freelance High Performance Computing Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Freelance High Performance Computing Engineer jobs in New York look for?

The top searched job categories for Freelance High Performance Computing Engineer jobs in New York are:

What cities in New York are hiring for Freelance High Performance Computing Engineer jobs?

Cities in New York with the most Freelance High Performance Computing Engineer job openings:

Infographic showing various Freelance High Performance Computing Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

High Performance Computing (HPC) AI Engineer

NYU Langone Health

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted 11 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

14th of 888 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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