Lead Computational Scientist – Magnetic Materials & AI Discovery

SandboxAQ; United States; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity

Performance incentives

Health/dental/vision

401(k) with match

Flexible hybrid work

Job summary

SandboxAQ is seeking a Computational Magnetics leader to define the scientific direction of the Magnets vertical. You will shape the magnetism-aware LQM, guide multi-scale modeling, and drive dataset strategy and experimental validation to accelerate magnet technologies.

You will build and mentor a top-tier team, partner with AI platform teams and national labs, and translate research outputs into practical, manufacturable magnets for U.S. semiconductor supply chains.

Qualifications

• Lead scientific programs in magnetic materials and manage teams.
• Translate first-principles and ML-driven modeling into manufacturable magnets.
• Publish and patent work; engage with national labs and industry partners.

Responsibilities

• Own the scientific charter and roadmap for the Magnets vertical.
• Oversee IP strategy and value generation from design outputs.
• Build and mentor a multidisciplinary research team.
• Define magnetism-aware LQM and data-generation capabilities.
• Lead external scientific engagement with labs and partners.
• Architect DBTL loops—computational modeling with lab validation.
• Collaborate with commercial teams for licensing and partnerships.
• Author external scientific narratives for updates and conferences.

Skills

PhD in materials science

Scientific leadership

First-principles modeling

Multiscale modeling

Magnetism & intermetallics

Education

PhD in Materials Science, Physics or Chemistry

Job description

SandboxAQ is seeking a Computational Magnetics leader to define the scientific direction of the Magnets vertical. You will shape the magnetism-aware LQM, guide multi-scale modeling, and drive dataset strategy and experimental validation to accelerate magnet technologies.

You will build and mentor a top-tier team, partner with AI platform teams and national labs, and translate research outputs into practical, manufacturable magnets for U.S. semiconductor supply chains.