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Supercomputer Jobs in New York (NOW HIRING)

Senior Engineer, Build and DevOps - ADI

New York, NY · On-site

$142K - $182K/yr

RAPIDS supports customers and partners ranging from individual data scientists to the world's largest supercomputers and Fortune 500 companies. As a DevOps Engineer, you'll have the opportunity to ...

Senior Research Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Significant computational resources are available via our institutional high-performance supercomputing cluster. Numerous collaborating labs are available to provide infrastructure and experience.

Senior Research Engineer

New York, NY · On-site

$114K - $157K/yr

Significant computational resources are available via our institutional high-performance supercomputing cluster. Numerous collaborating labs are available to provide infrastructure and experience.

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

... supercomputers) or cloud environments (e.g., AWS, GCP, and Azure) • Support application of ML/DL/CI techniques across topics and domains • Deliver training on ML/DL/CI techniques and best ...

Showing results 21-40

Supercomputer information

What are the key skills and qualifications needed to thrive in the supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What are the typical responsibilities of a supercomputer engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a supercomputer?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

What are the most commonly searched types of Supercomputer jobs in New York? The most popular types of Supercomputer jobs in New York are:
What job categories do people searching Supercomputer jobs in New York look for? The top searched job categories for Supercomputer jobs in New York are:
Infographic showing various Supercomputer job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 6% Temporary, and 6% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Software Developer, AI Networking

Nvidia

New York, NY

$59.50 - $78.75/hr

Full-time

Posted 24 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team. We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for Data Center scale systems for AI training/inference and lower level benchmarks. We strive for automation and develop many tools in-house yet adopt community accepted practices and frameworks. Moreover we give back to community developing our own tools in public GitHub repositories. Our goal is to ensure that large-scale systems deliver expected performance in practice, not just on paper, by uncovering bottlenecks and driving continuous improvements.

What you'll be doing:

  • Developing AI networking communication frameworks and applications running in production on the world's largest supercomputers and data centers.

  • Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA.

  • Enable new AI models within our benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks.

  • Design and implement automation systems, including large-scale parameter search to identify optimal configurations across complex systems.

  • Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.

What we need to see:

  • B.Sc., M.Sc degree in Computer Science / Software engineering or equivalent experience.

  • 5+ years of experience.

  • Professional Python development experience. We seek individuals who build maintainable, long-lived tools that do not impose a heavy burden on the team in terms of maintenance.

  • Solid Linux expertise and passion for working extensively in command-line environments.

  • Ability to work across a broad and evolving stack, with a strong drive to learn-from hardware and networking up to large-scale AI systems running across entire clusters

Ways to stand out from the crowd:

  • Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training.

  • Familiarity with cluster orchestration systems such as Slurm or Kubernetes.

  • Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking.

  • Experience in performance optimizations

For two decades, we have pioneered visual computing, and the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993