SandboxAQ
As a Research Scientist on the Computational Catalysis team, this role involves developing large-scale DFT datasets, machine-learned force fields, and computational workflows for heterogeneous catalyst discovery. Candidates will collaborate with engineering and machine learning teams to simulate material reactivity while supporting client engagements for the chemical and energy sectors. The position requires mentoring junior scientists and delivering research findings to diverse internal and industry partners.
Headquarters
Palo Alto, California, United States
Company Size
51-200 employees
Founded
2021
SandboxAQ builds AI and advanced-computing solutions that combine large-scale AI, simulation, and next‑generation computing (including quantum-aware techniques) to solve complex scientific, security, and sensing problems. Its product suite includes AI simulation platforms (AQBioSim, AQChemSim, AQMed), large quantitative models, AI sensing and navigation (AQNav), and cryptography and cybersecurity tools such as AQtive Guard for quantum-safe key management. SandboxAQ serves global organizations across research, defense, and enterprise markets and supports education and knowledge sharing through residencies, scholarships, and a publications library.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SandboxAQ.
17% above the average for this role
Research Fellow (Catalysis Modelling)
Nanyang Technological University
Postdoctoral Scholar, Physics
University of Central Florida
Research Scientist
ASTARPRD
Computational Materials Scientist in Catalysis and Reactivity
Schrödinger
Postdoctoral Research Associate
Brookhaven National Laboratory
Materials Science Developer
Schrödinger