Quantum Computing Postdoctoral Scholar
Lawrence Berkeley National Laboratory
Berkeley, CA 94720
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) and the National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) have a joint opening for a Quantum Computing Postdoctoral Scholar to join the team.

In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves implementation of innovative FPGA-based features and programming to enable next generation quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a researcher with strong FPGA experience, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
RequirementsWhat is Required: • Ph.D. in Electrical Engineering, Chemistry, Physics, Computer Science, or related fields. • Demonstrated experience in FPGA programming and application to scientific experiments, preferably experience in using Xilinx series FPGA with the Verilog/SystemVerilog language. • Interest in acquiring new skills in quantum computing, including quantum algorithms and benchmarking tools. • Knowledge of complex systems debugging tools including network analyzer, oscilloscope, spectrum analyzer, chip scope etc. • Excellent communication skills to facilitate interdisciplinary work with multiple collaborators and to represent the team's work at conferences. Desired Qualifications: • Experience with quantum algorithms and computing. • Experience with high speed analog/digital electronics development. • Experience in schematic capture, pcb layout and pcb board bring up. • Prior experience with execution of quantum and hybrid algorithms (including VQE and other variational algorithms) on NISQ-era hardware is strongly desirable. • Prior experience with ML and quantum machine learning. • Experience with machine learning libraries such as TensorFlow, Keras, Scikit-learn, etc. • Strong publication record.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse 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, or protected veteran status.
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
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