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Computational Chemistry/Physics (MS/BS)

Other Full-time Exceptional remote candidates considered; Bay Area preferred

Job details

Not specified Salary
Exceptional remote candidates considered; Bay Area preferred Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Help develop and put into practice physics-based simulation methods for molecular and materials systems. The work combines research fundamentals with scientific software development, turning mathematical ideas into efficient, dependable numerical tools and simulation workflows.

Responsibilities - Implement and extend models and algorithms for molecular and materials simulations. - Translate theoretical concepts into efficient numerical methods and test their behavior. - Develop high-performance scientific software in Python and/or C++. - Contribute to simulation pipelines, method validation, and scaling. - Collaborate with senior scientists in a research-focused environment.

Requirements - A bachelor’s or master’s degree in chemistry, physics, applied physics, materials science, or a related field. - A solid grounding in quantum mechanics, statistical mechanics, and thermodynamics. - Strong scientific programming ability in Python and/or C++. - Comfort with mathematical models and numerical methods. - A self-directed, curious approach and willingness to learn new theory and tools.

Nice to have - Experience with molecular simulation or electronic structure software. - Exposure to parallel computing, such as OpenMP, MPI, or CUDA. - Research experience in computational chemistry, physics, or materials science.

Benefits and work setup Full-time role, with a preference for candidates in the San Francisco Bay Area; exceptional remote candidates may be considered. Compensation is described as a competitive startup salary plus equity, based on experience. The role offers early ownership and the opportunity to work on foundational scientific problems.

Skills detected in the listing

PythonC++
Detected Oct 10, 2026
Last verified Oct 10, 2026

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