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Amazon · 15 hours ago

Quantum Research Scientist Intern, Device and Architecture Theory, AWS Center for Quantum Computing

Pasadena, California, USA

Internship

Onsite

Intern

$136K/yr - $184K/yr

Amazon is seeking a Quantum Research Scientist Intern for its AWS Center for Quantum Computing in Pasadena, CA. The intern will conduct theoretical research to inform the development of next-generation quantum processors, collaborating with a multi-disciplinary team of scientists and engineers.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

U.S. Citizen Only

Responsibilities

Conduct pathfinding theoretical research to inform the development of next-generation quantum processors

Potential focus areas include device physics of superconducting circuits, novel qubits and gate schemes, and physical implementations of error-correcting codes

Work closely with both theorists and experimentalists to explore these directions

Qualification

Quantum physics researchScientific programmingQuantum error correctionNumerical simulationsSuperconducting qubits researchExperimental data analysisCross-team collaborationCommunication skillsProblem-solving skills

Required

Work 40 hours/week minimum and commit to 12 week internship maximum

Are 18 years of age or older

Can relocate to where the internship is based

Enrolled in PhD degree in physics, applied physics, electrical engineering, computer science or an equivalent degree in a similar field

Research experience in quantum physics (e.g., in quantum computing, communication, or sensing; condensed matter physics; atomic, molecular, and optical physics; etc)

Proficient in a scientific programming environment

Preferred

Familiarity with quantum error correction (qubit codes and/or bosonic codes)

Experience performing numerical simulations of quantum systems

A demonstrated track record of original, impactful research on superconducting qubits, cavity/circuit QED, quantum optics, open quantum systems, or related areas

Experience successfully delivering on projects as part of a cross-team collaboration

Experience working directly with experimental data or supporting an experimental collaboration