Quantum Formatics is a materials discovery startup focused on creating next-generation superconductors for high-field applications, enabling scalable fusion energy and more accessible MRI technology. Our proprietary AI-accelerated discovery algorithm has already demonstrated success in identifying novel superconducting materials. Based at The Engine in Cambridge, with close ties to MIT and the University of Florida, Quantum Formatics is a fast-moving, venture-backed startup operating at the intersection of materials science, AI, and applied physics.

About Quantum Formatics Corp

Quantum Formatics is a materials discovery startup focused on creating next-generation superconductors for high-field applications, enabling scalable fusion energy and accessible MRI technology. Our proprietary AI-accelerated discovery algorithm has already demonstrated success in identifying novel superconducting materials. Based at The Engine in Cambridge, MA, with close ties to MIT and the University of Florida, Quantum Formatics is a fast-moving, venture-backed startup operating at the intersection of materials science, AI, and applied physics.

About the Role

We are seeking a Computational Scientist to join our growing R&D team. In this role, you will apply state-of-the-art AI methods and computational materials science techniques to accelerate the discovery of novel superconductors. You will contribute to both the development of our in-house AI models and the execution of high-throughput simulations, working closely with our world-class team of scientists and engineers. This is a high-impact position where your work directly influences the pace of discovery and the commercialization of transformative technologies.

About you

• Ph.D. in Physics, Chemistry, Materials Science, or a closely related field, with a strong focus on atomistic modeling or AI accelerated materials discovery.
• At least 3 years of research in AI for materials discovery.
• Understanding of materials modeling including DFT and molecular dynamics simulations.
• Familiarity with high-performance computing.
• Proficiency in Python.
• Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.

Pluses

• Experience in optimizing HPC architectures.
• Experience in Fortran and/or C++.
• Understanding of BCS theory and the physics of electron-phonon superconductors.

What We Offer

• Competitive salary in the range of $120K–$150K + equity, commensurate with experience and technical expertise.
• Equity ownership, giving you the opportunity to share in the long-term success and value creation of Quantum Formatics.
• Comprehensive healthcare insurance.
• The chance to work alongside world-class entrepreneurs and scientists at MIT’s tough tech incubator, The Engine.
• An opportunity to work at an early-stage start-up built by scientists who care about impact, not publicity.
• A high-impact role where your work directly accelerates breakthrough technologies in energy and healthcare.