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Smart Computing Research Scientist Jobs (NOW HIRING)

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

$151K/yr

The role bridges engineering, physics, computer science, and clinical research, providing ... Strong programming experience in Python, MATLAB, C++, or similar scientific computing languages and ...

Exploring what's next in computing and shaping the technologies the world will rely on tomorrow ... Your role and responsibilities IBM Research is seeking a research scientist to advance novel ...

Exploring what's next in computing and shaping the technologies the world will rely on tomorrow ... Your role and responsibilities IBM Research is seeking a research scientist to advance novel ...

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Smart Computing Research Scientist information

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$50.5K

$130.1K

$174K

How much do smart computing research scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for smart computing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Smart Computing Research Scientist jobs?

For Smart Computing Research Scientist jobs, the most frequently searched job titles are:

Quantum Computing Research Scientist - Senior Associate

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

$108K - $138K/yr

Other

Re-posted 19 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


Job description

Join a world-class team at the frontier of quantum computing, where your research directly shapes the future of financial technology. At JPMorganChase, you will have the resources, partnerships, and scale to turn theoretical breakthroughs into real-world impact. This is a rare opportunity to grow your career at the intersection of cutting-edge science and one of the world's most influential financial institutions.

As a Quantum Computing Research Scientist in the Global Technology Applied Research team, you will work across the full spectrum of quantum computing — from foundational theory and numerical simulation to hardware experimentation and financial applications. You will collaborate with leading hardware partners and internal stakeholders to tackle some of the most complex computational challenges in finance. We value intellectual curiosity, rigorous thinking, and the ability to bridge deep technical expertise with meaningful, real-world impact.

Job responsibilities
  • Lead original research in quantum computing spanning algorithms, error correction, compilation, simulation, or financial applications, and publish results in top-tier academic venues
  • Collaborate with quantum hardware partners to design and execute experiments on partially and fully fault-tolerant quantum devices
  • Partner with lines of business to identify, formalize, and solve high-value computational problems using quantum and advanced classical methods
  • Develop and maintain scientific software for algorithm development, circuit compilation, simulation, and benchmarking
Required qualifications, capabilities, and skills
  • Ph.D. in computer science, physics, mathematics, or a related field with a research focus in quantum computing
  • Strong publication record in at least one of the following: quantum algorithms, quantum error correction, quantum complexity theory, quantum simulation, or computational finance
  • Proficiency in Python, C++, or Julia
  • Clear written and verbal communication skills with the ability to convey technical concepts to both specialist and non-technical audiences
Preferred qualifications, capabilities, and skills
  • Experience with scientific computing and numerical methods
  • Familiarity with quantum error‑correcting codes — including surface, color, or other topological codes — and fault-tolerant circuit design
  • Knowledge of quantum algorithms applied to financial problems such as optimization or risk analysis
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