Bay Area preferred; exceptional remote candidates considered Full-Time Competitive startup salary plus equity, commensurate with experience Job Description What You'll Do Implement and extend physics-based models and algorithms for molecular and materials simulations Translate theoretical ideas into efficient, well-tested numerical methods Write high-performance Python and/or C++ code, with exposure to parallel or accelerator computing Contribute to simulation pipelines, validation, and scaling of new methods Work closely with senior scientists in a highly collaborative, fast-moving research environment Who You Are MS or BS in chemistry, physics, applied physics, materials science, or a related field Solid foundation in quantum mechanics, statistical mechanics, and thermodynamics Strong scientific programming skills in Python and/or C++ Comfortable working with mathematical models and numerical methods Self-directed, curious, and eager to learn new theory and tools Nice to Have Experience with molecular simulation or electronic structure codes Exposure to parallel programming (OpenMP, MPI, CUDA, or similar) Prior research experience in computational chemistry, physics, or materials science Why Azulene Labs Opportunity to work on foundational scientific problems with real-world impact Significant responsibility and ownership early in your career Culture focused on rigor, learning, and building things that last #J-18808-Ljbffr
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