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Supercomputer Jobs in New York (NOW HIRING)

Nvidia

HPC Middleware Developer

Holmdel, NJ · On-site

The team is responsible for developing high performance communication frameworks and applications running in production on the world's largest supercomputers and datacenters. The work environment is ...

Smith and Associates

Account Representative

New York, NY · On-site

$65K - $75K/yr

We work across a variety of industries including automotive, supercomputing, gaming, medical devices, oil and gas, and more. Additionally, we provide tailored supply chain solutions such as ...

Advanced Micro Devices

Sr. Test Engineer

Secaucus, NJ · On-site

$120 - $150/hr

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ...

Advanced Micro Devices

Reliability Engineer

Secaucus, NJ · On-site

$120 - $160/hr

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market ...

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Supercomputer information

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 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 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 most commonly searched types of Supercomputer jobs in New York?

The most popular types of Supercomputer jobs in New York are:

What are popular job titles related to Supercomputer jobs in New York?

For Supercomputer jobs in New York, the most frequently searched job titles 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:

Supercomputer jobs near you
Infographic showing various Supercomputer job openings in New York as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution.

Quantum Computing Research Scientist - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$120 - $150/hr

Other

Re-posted 9 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work with Global Technology Applied Research (GTAR) center at JPMorgan Chase. The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next‑generation solutions for the firm’s clients and businesses.

As a Quantum Computing Research Scientist within The Global Technology Applied Research (GTAR), you will develop and scale up high-performance numerical methods to advance the study of quantum algorithms, quantum cryptography, and quantum compilation.

Job responsibilities
  • Drive a research agenda using numerical methods to advance quantum computing
  • Lead the development of numerical methods for exact and approximate simulation of quantum circuits and dynamics of quantum systems
  • Scale up numerical methods on HPC clusters and supercomputers
  • Perform large-scale simulations and document the results in scientific papers.
  • Implement, maintain, and manage a codebase of quantum simulation techniques.
Required qualifications, capabilities, and skills
  • Ph.D. degree in computer science, physics, math, engineering or related fields, plus at least 2 years of experience (industry or postdoc)
  • Experience in using GPUs in numerical simulation of quantum systems
  • Experience running simulations on many parallel nodes on HPC clusters or supercomputers
  • Experience in numerical study of quantum algorithms or systems and documenting the results in scientific papers
Preferred qualifications, capabilities, and skills
  • Experience developing a successful research program focused on numerical study of quantum algorithms
  • Experience with tensor network methods (e.g. MPS, PEPS)
  • Knowledge of quantum algorithms for financial problems (e.g., optimization, risk analysis)
  • Knowledge of error correction
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