HPE Labs - Principal Research Scientist, Quantum Chemistry

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Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture embraces varied backgrounds, flexibility to manage work and personal needs, bold moves, and growth opportunities.

Open up opportunities with HPE.

The rapid evolution of quantum technologies is opening the door to utility-scale quantum applications. The HPE Quantum team at HPE Labs pursues quantum supercomputing applications. We seek a Principal Research Scientist with deep expertise in quantum chemistry, material science, and quantum computing applications to drive our research agenda for tightly integrating high-performance computing and quantum computing. You will architect and implement next-generation classical–quantum workflows for simulating strongly correlated materials, chemistry, and quantum many-body physics;

and help define how HPE’s exascale-class infrastructure and emerging quantum platforms come together in real scientific and industrial applications.

You will lead a small team of scientists and engineers, collaborate with internal product groups and external partners (national labs, universities, and industry), and represent HPE in the broader quantum and HPC research communities. You will work closely with experts in quantum computing, physics-based machine learning, and high-performance computing.

• Lead original research at the intersection of quantum chemistry, quantum algorithms, and HPC, from concept through prototype and tech transfer.
• Design and implement classical–quantum workflows that couple large-scale classical simulations with NISQ and fault-tolerant quantum algorithms (e.g., for ground states, excited states, and real-time dynamics).
• Extend and optimize production-quality scientific codes (e.g., electronic structure, quantum Monte Carlo, many-body simulation) to run efficiently on heterogeneous HPC architectures.
• Develop resource-estimation and performance-modeling tools for quantum chemistry and materials simulations on future quantum hardware.
• Collaborate with internal hardware, systems, and software teams to shape HPC+QC co-design, including workflows that span supercomputers, cloud resources, and quantum accelerators.
• Partner with external institutions (national labs, academic groups, and consortia) on multi-institutional research programs, including joint publications and code releases.
• Publish in top-tier venues in quantum information, computational physics/chemistry, and HPC, and represent HPE at major conferences and workshops.
• Mentor and technically guide a team of researchers and engineers, fostering a culture of high-quality software, rigorous benchmarks, and open scientific exchange.
• Participate in identifying and shaping externally funded projects (DOE, NSF, EU, etc.) and help define HPE’s role and deliverables.

• Ph.D. in Physics, Chemistry, Chemical Engineering, Applied Mathematics, Computer Science, or a related field, with a focus in quantum chemistry / electronic structure, quantum many-body physics, or quantum information.
• 5+ years post-PhD research experience in quantum chemistry, quantum simulation, or closely related fields, with some experience in national labs, major research centers, or equivalent industrial labs.
• Demonstrated expertise in electronic structure and quantum chemistry methods (e.g., QMC, CI/FCI, coupled-cluster, multi-reference methods), with a strong publication record.
• Significant experience with classical simulation of quantum systems and/or quantum algorithms for chemistry and materials (e.g., VQE, qubitization, QPE, state preparation, real-time dynamics).
• Proven track record of development and optimization of large-scale scientific software in C++ and/or Fortran, with Python as a scripting / orchestration layer. Experience with at least one major community codebase (e.g., QMCPACK, Q-CHEM, similar) is highly valued.
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