Senior Materials Expert — AI‑Driven Materials Discovery at Siemens Energy
Charlotte, NC
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Jul 28, 2026
Charlotte, NC
Jul 29, 2026
What this job asks for AI summary
This senior individual-contributor research role at Siemens Energy focuses on applying AI and machine learning to accelerate industrial materials discovery and optimization. The work spans building ML models, multi-scale computational simulations, and materials data platforms, while leading cross-functional R&D programs and translating scientific findings into scalable industrial applications and intellectual property. It suits a computational materials scientist with deep AI/ML expertise and a track record of leading complex technical programs.
Senior level · 8+ years · Master's required · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location is specified in the posting beyond 'United States'; no CBSA or state could be determined.
The degree requirement states 'Ph.D. or Master's degree' — Master's is set as the minimum hard-required degree, though a Ph.D. is clearly the stronger fit for this research-leadership role.
Quantum computing is listed under the requirements section but qualified as 'preferred,' so it is marked as a preferred skill.
SOC classification is Medium confidence: the role is primarily AI/ML modeling and data science applied to materials (15-2051), but the heavy software/workflow-engineering component (building data pipelines, computational workflows, digital twins) makes 15-1252 a plausible runner-up.
The posting explicitly states applicants must be legally authorized for employment in the United States without employer-sponsored work authorization.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Bayesian Optimization, Finite Element Modeling.
Read the full posting
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