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Quantum Computing Research Scientist - Vice President

Job in New York, New York County, New York, 10261, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-04-27
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

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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