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SandboxAQ
AI & Machine Learning 3h ago

Research Scientist - Magnets Team, SandboxAQ

SandboxAQ
United StatesUnited States
Full-time
Competitive base salary commensurate with experience, plus equity and performance-based incentives (Not Disclosed)
Senior-Level

Job Description

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The Magnets team is part of SandboxAQ’s Chemical Simulation group, which uses advanced computational methods, physics-based simulation, and AI to discover and develop novel materials. This vertical focuses on creating high-performance permanent magnets that reduce reliance on neodymium and other rare earth elements, aiming to match or exceed the performance of today’s leading NdFeB magnets for applications like semiconductor equipment, vacuum systems, precision motion devices, and defense technologies.

The role involves driving the computational discovery and optimization of next-generation magnet materials. Key responsibilities include:

  • Running and interpreting atomistic and multi-scale simulations to predict properties like phase stability, magnetocrystalline anisotropy, saturation magnetization, and Curie temperature across Fe- and Co-based intermetallic systems using U.S.-accessible alloying elements.
  • Developing and testing computational workflows and ML-driven surrogate models for high-throughput screening and optimization of rare-earth-lean and rare-earth-free permanent magnet candidates.
  • Leading high-fidelity data generation campaigns to feed the magnetism-aware Large Quantitative Model (LQM), collaborating with platform and data-generation teams to specify energetics, descriptors, and uncertainty estimates.
  • Connecting atomistic simulation outputs to microstructure- and process-level predictions (e.g., powder metallurgy, sintering, heat treatment) to ensure manufacturability with existing industry equipment.
  • Collaborating with experimental partners to validate and refine predictions, contributing to the Design-Build-Test-Learn (DBTL) feedback loop between computation and lab work.
  • Working within agile, multidisciplinary teams to generate and evaluate hypotheses that influence project direction.
  • Communicating research findings through scientific talks, peer-reviewed publications, patents, and partner-facing technical presentations. Supporting junior scientists and interns as the team grows.

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SandboxAQ is a premier, enterprise-grade quantum and artificial intelligence technology company engineered to orchestrate massive-scale AQ (AI + Quantum) ecosystems and intelligent computational workflows. Operating as a highly integrated quantum-tech hub, the company eliminates the operational friction of traditional localized computing by seamlessly deploying advanced post-quantum cryptography, rigorous quantum sensing architectures, and cohesive AI-driven simulation frameworks. Moving beyond rigid legacy encryption and simulation platforms, SandboxAQ empowers global enterprises, telecommunications conglomerates, and government defense agencies to dynamically synchronize their infrastructure with elite quantum-resistant execution. Under the hood, their sophisticated software infrastructure natively handles complex cryptographic transitions, hyper-accurate magnetic anomaly detection, and seamless molecular modeling, ensuring frictionless security readiness and uncompromising computational resilience. What sets SandboxAQ apart is its uncompromising dedication to frictionless quantum orchestration; by bridging the gap between applied quantum physics and enterprise artificial intelligence, the company empowers organizations to radically accelerate their technological velocity, future-proof digital assets against quantum threats, and build an unassailable foundation for continuous dominance in the impending quantum era.

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