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Senior Research Scientist, Magnets

SandboxAQ· AI Simulation
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Remote$168k - $252kFull-timePosted 4w ago

About the role

Research Scientist to drive computational discovery and optimization of next-generation magnet materials, focusing on rare-earth-lean and rare-earth-free permanent magnets using first-principles, multi-scale simulations, and machine learning; collaborate with experimental partners and contribute to DBTL workflows, publications, and IP.

Responsibilities

  • Execute, analyze, and document DFT and multi-scale reference systems to predict phase stability, magnetocrystalline anisotropy, saturation magnetization, Curie temperature, and other properties across Fe- and Co-based intermetallic systems using U.S.-accessible alloying elements.
  • Develop and test computational workflows and ML interatomic potentials / surrogate models that enable high-throughput screening and optimization of rare-earth-lean and rare-earth-free permanent magnet candidates.
  • Lead high-fidelity data generation campaigns that feed the magnetism-aware LQM; work with platform and data-generation teams to specify the energetics, descriptors, and uncertainty estimates the workflows require.
  • Connect atomistic simulation outputs to microstructure- and process-level predictions (powder metallurgy, sintering, heat treatment) to keep candidate formulations manufacturable with existing industry equipment.
  • Collaborate with experimental validation partners to test and iterate on model predictions, contributing to the Design-Build-Test-Learn (DBTL) feedback loop between computation and the lab, ensuring that LQM models are more accurate over time.
  • Work within defined projects, deliverables and milestones alongside agile, multidisciplinary teams, and generate and evaluate hypotheses that influence project direction.
  • Communicate research findings through scientific talks, peer-reviewed publications, patents, and partner-facing technical presentations; support junior scientists and interns as the team grows.

Qualifications

  • PhD or equivalent experience in Solid-state Physics, Quantum Chemistry applied to Materials Science or a related field.
  • Hands-on experience with DFT or atomistic simulation.
  • Strong programming skills in Python and modern scientific-computing practices.
  • Experience applying machine learning, surrogate modeling, or high-throughput methods to materials problems.
  • Demonstrated ability to collaborate with experimental or cross-functional teams to validate and iterate on predictions.
  • US Persons (Permanent Residents or Citizens) required due to U.S. Government contractual requirements.

Skills

Required:DFT and atomistic simulationPython programmingMachine learning for materials scienceCollaboration with experimental teams

Benefits

  • Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives.
  • Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave.
  • Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery.
  • Career Development: Direct exposure to CHIPS Act-funded programs, mentorship, and learning budgets.
Last updated Sep 23, 2026. Interested? Apply on the company site.

About SandboxAQ

Transforming the World with AI and Advanced Computing

SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for global organizations.

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