Computational Chemist - Machine Learned Force Fields, Material Discovery is open at Sandboxaq in United States (remote). The posting gives a salary of $134K - $252K. Posted on Oct 26, 2026, and still on Sandboxaq’s careers page when we last checked, on Nov 14, 2026.
About the role
Introduction to the team: This role is for the PFAS team which sits within SandboxAQ's Chemical Simulation (ChemSim) group. Our mission is to develop PFAS-lean or PFAS-free substitutes and formulations for semiconductor process and fab materials that meet both performance specifications and environmental and safety requirements in complex semiconductor manufacturing environments. We combine generative ML, physics…
The opening lines of the posting. The rest is on Sandboxaq’s careers page.
Hiring at Sandboxaq
Sandboxaq has 36 open roles right now, 34 of them remote. Most are in Engineering, Data & Research and Product. The median advertised salary across its roles with a published range is $218K. See all its roles
