Senior Quantum Theorist, Atomic Physics Focus

Atom ComputingBerkeley, CAJob.bopublished 09/29/2026
Must-have:PythonGitCI/CDAILeadJunior

Job Responsibilities Lead independent and collaborative theoretical and computational projects that drive the understanding and development of neutral atom quantum computers.

Drive the development and architecture of atomic physics simulations, translating them into high-quality, maintainable software solutions.

Identify and propose new research directions, tools, or methods — including AI-assisted approaches — that accelerate the team's theoretical and computational work.

Collaborate with and provide technical guidance to Quantum Engineering, QEC Theory, and AMO Theory teams to model experimental results, develop noise models for quantum hardware, and inform design of neutral-atom quantum computers.

Mentor junior AMO Theorists and help set best practices for theoretical and computational work across the team.

Write clean, well-tested, and documented code in multiple languages (preferably Python, Julia, or C++).

Experience & Education PhD in Physics, Mathematics, Engineering, Computer Science, or a related field.

5+ years of post-PhD experience in research or the quantum industry.

Extensive experience with scientific, high-performance, or quantum computing.

Qualifications Deep understanding of atomic, molecular and optical physics. Experience working with or modeling of Rydberg atoms is particularly appreciated.

Demonstrated track record of independent research leadership, with a strong publication record within their field of research.

Excellent written and oral communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical audiences.

Familiarity with modern software development practices: version control, unit testing, continuous integration, and documentation as well as public examples of past work that demonstrate coding quality and project delivery (e.g. via GitHub or equivalent).

Experience with, or strong interest in, applying AI tools (e.g. LLMs, ML-based modeling or optimization methods) to accelerate research and engineering workflows.

Temperamentally suited to work at a fast-growing startup: self-motivated, humble, driven, and collaborative, with a high tolerance for ambiguity.