Senior Architect

Role overview Shape the technical direction of software that helps scientists apply AI and advanced computing to chemistry and materials discovery. This senior role connects research, engineering, product teams, users, and partners, translating emerging methods into developer tools, APIs, workflows, and product priorities.

Responsibilities - Advise internal teams and external users on tools and workflows for chemistry and materials science. - Help set and prioritize features across a scientific software platform and related projects. - Turn advances in machine learning interatomic potentials, generative modeling, and quantum chemistry into product direction. - Synthesize input from researchers, partners, and product teams to guide technical and roadmap decisions. - Represent the work at scientific conferences, workshops, and industry events.

Requirements - A PhD in computational chemistry, materials science, computer science, or a related field, or equivalent experience. - At least eight years building AI or machine learning software for chemistry or materials applications. - Strong experience with GPU computing and modern machine learning frameworks. - Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows. - Experience architecting scientific software, developer platforms, or technical products. - Clear communication across technical and nontechnical audiences.

Nice to have - Significant publications in AI for chemistry, molecular modeling, or materials discovery. - Experience with CUDA, parallel programming, or performance-focused development. - Leadership in software or product development in a fast-moving technical setting. - Contributions to open-source simulation, chemistry, or materials science software.

Benefits and work setup The role includes equity and benefits. The stated base salary range is $224,000–$356,500, with the offer dependent on location, experience, and other job-related factors.