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© All Rights Reserved. ApplyBlast.com
SandboxAQ
SandboxAQ is seeking a Computational Chemist to lead the development of machine learned force fields for PFAS substitution within its Chemical Simulation group. The role involves designing high-throughput simulation campaigns, training and deploying machine learned potentials, and delivering property predictions to support semiconductor material discovery. This position requires deep expertise in computational chemistry, machine learning, and molecular simulation to advance the company's mission of creating safer, PFAS-free alternatives.
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.
40% above the average for this role
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