Location: Hybrid (HQ in Palo Alto, CA) About Us Aionics operates at the cutting edge of materials science and artificial intelligence, utilizing advanced simulation and machine learning technologies to create next-generation materials. Our expertise supports leading original equipment manufacturers (OEMs) in automotive, grid-scale energy storage, and green manufacturing sectors. With a mission to harness theContinue reading “Head of Business Development”
Job Archives
Financial Modeling Internship (Technoeconomics)
We’re hiring a Techno-economics Analysis Intern to explore the commercial factors that influence our technology. This role combines economic expertise with scientific know-how to develop our products. The ideal candidates will have experience in applying economic models to real-world scenarios, especially in the realm of energy, batteries, and mobility. However, the most important prerequisite forContinue reading “Financial Modeling Internship (Technoeconomics)”
Office Manager
We’re hiring an Office Manager to support our internal business operations and manage our office space in Palo Alto. This will be a part-time position, three days (24 hours) a week, Tuesday through Thursday, with an in-person requirement in the Palo Alto office. The ideal candidate is highly detail-oriented, efficient, curious, and proactively engaged. However,Continue reading “Office Manager”
Software Engineering Manager
Company Aionics is a company that lives at the intersection of materials science and artificial intelligence. We use our best-in-class simulation and machine learning capabilities, in partnership with some of the world’s largest manufacturers, to design next-generation materials for leading OEMs in automotive, grid scale energy storage, green manufacturing, and more. Our mission is to leverageContinue reading “Software Engineering Manager”
Materials Informatics Scientist
We’re hiring a Materials Informatics Scientist that will support efforts in machine learning-based prediction and experimental design in materials research problems The ideal candidates have significant experience translating scientific concepts to numerical models, implementing scripts and software to solve problems, presenting problems and results in a detailed and coherent manner, and interfacing with clients ofContinue reading “Materials Informatics Scientist”