Quantum Computing Simulation Postdoctoral Fellow

Quantum Computing Simulation Postdoctoral Fellow

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher – Quantum Computing Simulation postdoctoral fellow to join NERSC’s Quantum team to help develop algorithms for simulating magnetic materials, perform classical simulations at scale on the upcoming Doudna supercomputer, and running circuits on quantum hardware. You’ll collaborate with NERSC staff and scientists, and partners at LLNL and Quera to analyze performance, perform resource estimation, and validate algorithms on hardware.

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits, including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)

• Develop algorithms for magnetic materials: dynamics
• Analyze and optimize quantum-related workflows, including classical simulation of quantum systems.
• Develop and apply advanced workflow capabilities such as on-system classical simulations
• Publish and present results in peer-reviewed venues and conferences. Engage in community knowledge-sharing (e.g., tutorials for the NERSC user base).
• Validate results on quantum hardware

• PhD awarded within the last five years in Physics, Computational Chemistry, Computational Science, Applied Mathematics, or a related field.
• Programming experience in one or more of:
  Python, C++, Fortran, Julia.
• Ability to work effectively on interdisciplinary teams.
• Clear written and oral communication with a record of leading and reporting results.
• Knowledge of quantum computing algorithms.

• Familiarity with tensor network methods.
• Experience programming GPUs.
• Experience implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or Penny Lane.
• Experience debugging and profiling distributed-memory parallel applications.
• Knowledge of Git and modern software practices such as unit testing, CI/CD, and collaborative development.

Salary range: $8,570 - $9,935 per year.

Equal Employment Opportunity

Employer:

The foundation of Berkeley Lab is our Stewardship Values:
Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.