SandboxAQ
Research Scientist, Battery Materials Simulation
United States
Sponsorship not specifiedDetected 25 days ago
Machine LearningDeep LearningSupply ChainEpicResearchLeadershipCollaborationMentoringPublic Speaking
About the role
- We are seeking a highly skilled Research Scientist in Materials Simulation to join our dynamic team.
- The ideal candidate will have a strong background in applying advanced simulation techniques, particularly Density Functional Theory (DFT) and Molecular Dynamics (MD), to battery materials.
- Introduction to the role: We are seeking a highly skilled Research Scientist in Materials Simulation to join our dynamic team.
Responsibilities
- Conduct high-fidelity data generation campaigns and develop ML force fields for solid-state materials.
- Collaborate closely with multi-disciplinary teams to independently prototype and scale cutting-edge, impactful materials design solutions.
- Generate and evaluate hypotheses to assist design decisions and influence project direction by developing and deploying computational methods and workflows.
Skills
- Ph.D. in Materials Science, Chemical Engineering, Chemistry, Computer Science, or a related field is preferred.
- Proficiency in common DFT and MD simulation software (e.g., VASP, Quantum ESPRESSO, LAMMPS, ASE).
- Proven ability to benchmark and compare domain specific AI models for materials discovery.
- Contributions to open-source projects related to MLIPs.
- Authorship of publications in high impact peer-reviewed journals or conferences.
- Demonstrated ability in project leadership within an industrial setting, including managing teams, timelines, and deliverables.
- Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
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.
- Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth.
- Experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.
- Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery.
- Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery.
Company info
- SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.
- The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.
- We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties.
- The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.
- At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact.
- By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges.
- Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.
- The Batteries vertical sits at the intersection of ChemSim and AI Simulation, where SandboxAQ uses physics-based simulation, proprietary datasets, and Large Quantitative Models (LQMs) to discover and optimize next-generation battery materials.
- Our goal is to compress slow, empirical battery R&D into an AI-driven workflow spanning prediction, simulation, and materials discovery for high-impact applications including solid-state batteries, Cobalt-free cathodes, beyond Li-ion cell chemistries, and resilient energy storage systems.
- We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued.
Equal opportunity
- All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
- Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles.
- If you need such an accommodation, please let a member of our Recruiting team know.
- Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Visa & Work Authorization
- ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
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This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.