Senior Research Scientist – Quantum-Centric Supercomputing for Materials Science

IBM Yorktown Heights, US

Company

IBM

Location

Yorktown Heights, US

Type

Full Time

Job Description

Introduction


IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing always choosing the big urgent and mind-bending work that endures and shapes generations. Our passion for discovery and excitement for defining the future of tech is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.

IBM's product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive.

Your role and responsibilities

IBM Research is seeking a research scientist to advance novel quantum algorithms and apply them to the fields of materials science and condensed matter physics. Your job will be to progress the field of quantum computing by developing new methods and insights that shape and execute on the IBM quantum roadmap. Key areas of research include quantum simulation and applications of quantum-centric supercomputing for quantum matter and materials.

  • Improve upon and develop novel algorithms that combine quantum and classical resources.
  • Demonstrate and benchmark quantum methods on real world applications in condensed matter and materials science.
  • Expand the quantum ecosystem and connect to materials scientists through quantum community working groups.
  • Work with clients and partners to validate solutions and accelerate discovery.

Required education
Doctorate Degree
Required technical and professional expertise
  • Experience in academic graduate program related to applicable area of quantum computing such as condensed matter physics information theory or materials science.
  • Experience running demonstrations on real quantum hardware.
  • Familiarity with multi-scale computational approaches in materials science.
  • Familiarity with computational materials discovery/optimization e.g. computational screening methods.

Preferred technical and professional experience

Hiring manager and Recruiter should collaborate to create the relevant verbiage.

  • Strong publication record in high-impact journals or top conference proceedings.
  • Programming experience in core & scientific language (e.g. python numpy scipy matplotlib) and Qiskit
  • Familiarity with Git and/or Github
  • Successful record of collaborative work
  • Experience leading leading research projects in industry or academically
  • Experience writing proposals and participating on grants
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Date Posted

12/04/2025

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