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Manager Supercomputer Jobs in New York (NOW HIRING)

Advanced Micro Devices, Inc

Program Manager

Secaucus, NJ · On-site

$119K/yr

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI ... Create and maintain project management artifacts such as schedule, resource and resource forecast ...

Koch Industries

Product Manager

Bridgewater, NJ · On-site

... supercomputing. What You Will Do * Own and drive WSS product line performance, including portfolio health, lifecycle management, and financial results through cross-functional execution * Manage ...

Smith and Associates

Purchasing Specialist

New York, NY · On-site

$65K/yr

... supercomputing, gaming, medical devices, oil and gas, and more. Additionally, we provide tailored supply chain solutions such as counterfeit testing, vendor inventory management, and sustainable ...

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Manager Supercomputer information

What is the difference between Manager Supercomputer vs Supercomputing Systems Engineer?

AspectManager SupercomputerSupercomputing Systems Engineer
Required CredentialsBachelor's or master's in computer science, engineering, or related field; management experienceBachelor's or master's in computer science, computer engineering, or related field; technical certifications
Work EnvironmentOversees supercomputing facilities, manages teams, strategic planningDesigns, develops, and maintains supercomputing systems, works hands-on with hardware/software
Employer & Industry UsageResearch labs, government agencies, large tech companiesResearch institutions, high-performance computing centers, tech firms

The Manager Supercomputer primarily oversees supercomputing operations and manages teams, focusing on strategic and administrative tasks. In contrast, the Supercomputing Systems Engineer is more technically involved, designing and maintaining supercomputing systems. Both roles require strong technical backgrounds, but their responsibilities differ in scope and focus.

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Quantum Computing Research Scientist - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$120 - $150/hr

Other

Re-posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 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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