SandboxAQ
Head of Science, Permanent Magnets
$224K–$420K
United States · Remote · Director · Full-time · Posted Oct 20, 2026
- Experience
- 7+ years of post-PhD experience.
- Education
- PhD in Materials Science, Physics, Chemistry, or a related discipline.
About the job
Leads the scientific strategy, team, and partner engagement for developing manufacturable, high-performance permanent magnets with reduced reliance on rare earth elements.
What you'll do
- Set the Magnets vertical’s scientific charter and technical roadmap, and guide computational modeling, AI platform capabilities, and experimental validation.
- Build and lead a multidisciplinary research team; manage IP strategy and represent the program to scientific, industrial, government, and defense partners.
- Translate partner and application needs into research priorities and support licensing, co-development, and external scientific communications.
What they ask for
- PhD in Materials Science, Physics, Chemistry, or a related discipline, with deep specialization in magnetism, intermetallics, or hard magnetic materials.
- 7+ years of post-PhD experience leading scientific programs in magnetic materials, including significant industrial or national-lab leadership at principal scientist, fellow, or director level.
- Ability to translate first-principles, multi-scale, and ML-driven modeling into manufacturable magnet formulations, including powder metallurgy, sintering, and heat treatment.
- Track record of leading multidisciplinary teams and research roadmaps, with publications and patents and the ability to represent work to senior government, defense, and industrial audiences.
Nice to have
- Hands-on experience with Fe-N, Mn-based, Sm-Co, or other rare-earth-lean permanent magnet systems and bulk processing.
- Experience with federally funded R&D programs, NewCo formation, IP licensing, or scaling magnet research into manufacturing.
Pay
$224K – $420K • Multiple Ranges (base salary)
Tools
Large Quantitative Models (LQMs), AISim, Design-Build-Test-Learn (DBTL)
AI focus
Shape how AI and magnetism-aware Large Quantitative Models are applied to materials discovery and magnet development; prioritize data generation and multi-scale modeling capabilities.
Model-written summary · the original posting is authoritative