Staff Scientist - Quantum Characterization & Benchmarking

Accountabilities

- Lead the research and development of novel, scalable QCVV protocols for multi-qubit quantum processors.

- Define the research direction for quantum processor characterization and benchmarking, connecting measurement outcomes to practical error models.

- Design benchmarking methods that identify and measure specific noise types, informed by component-level characterization and first-principles approaches.

- Develop theoretical frameworks that translate characterization data into actionable error models, including detector error models.

- Collaborate with quantum error correction and compiler teams to inform error-correction code selection and decoder design.

- Work closely with experimental teams to translate theoretical findings into measurable system improvements.

- Publish research findings in leading scientific journals and conferences.

- Represent the research team at industry and academic conferences.

- Mentor junior researchers and contribute to the team's broader technical strategy.

Requirements:

- PhD in Physics, Quantum Information, Mathematics, or a closely related field.

- At least 7 years of research experience in quantum characterization, benchmarking, or a closely related discipline.

- Strong publication record in quantum information science.

- Deep expertise in quantum benchmarking protocols, including randomized benchmarking, gate set tomography, and character benchmarking.

- Strong knowledge of representation theory and its applications to QCVV.

- Experience developing or applying scalable benchmarking methods for many-qubit quantum systems.

- Ability to write, read, debug, and develop scientific simulations and research prototypes.

- Experience with trapped-ion or neutral-atom quantum systems is highly desirable.

- Familiarity with quantum error correction codes and decoder design.

- Strong scientific leadership, research direction-setting, and problem-solving capabilities.

- Excellent communication and collaboration skills, with the ability to work across theoretical and experimental research teams.

- Demonstrated ability to mentor researchers and communicate complex scientific results through publications and presentations.

Benefits:

- Competitive base salary, bonus potential, and equity as part of the total compensation package.

- Comprehensive medical, dental, and vision coverage.

- Matching 401(k) retirement plan.

- Unlimited paid time off and paid holidays.

- Parental and adoption leave.

- Legal insurance.

- Home technology stipend.

- Compensation determined by factors including education, qualifications, experience, work location, market data, and internal equity.

- Work location options include Bothell, Washington; Boulder, Colorado; College Park, Maryland; and remote within the United States.

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