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
Computational Chemistry/Physics (MS/BS) in ms at Unknown Company
This position is listed as full time and able to be worked remotely.