# Materials Science & Semiconductor AI Expert

> Gramian Consulting Group · United States (Remote) · Contract · Posted 2026-09-23

**Workplace:** remote

**Department:** Partnerships

## Description

**About Gramian**

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**About the Role**

We are seeking an experienced Materials Science or Semiconductor Physics Expert to evaluate and benchmark advanced AI models against real-world materials discovery workflows. You will collaborate with client R&D teams to transform atomic-scale engineering challenges into structured, verifiable test scenarios, define scientific grading criteria, and diagnose AI model performance.

The ideal candidate combines deep expertise in semiconductor materials, thin-film processes, and computational physics with the ability to translate complex scientific problems into reproducible evaluation workflows.

**LOCATION:** Remote — United States (excluding specified states) and United Kingdom.

**Excluded States:**

-   Texas
-   Illinois
-   California
-   Connecticut
-   Massachusetts
-   New Jersey
-   Vermont

**Key Responsibilities**

-   Participate in technical discovery sessions with client R&D teams.
    
-   Map and deconstruct end-to-end materials discovery workflows into discrete subprocesses.
    
-   Convert real-world materials engineering challenges into structured test scenarios.
    
-   Define inputs, constraints, expected outputs, and verified golden reference solutions.
    
-   Develop scientific scoring rubrics and programmatic validation rules.
    
-   Validate criteria such as stoichiometry, thermodynamics, and simulation stability.
    
-   Inspect step-by-step AI reasoning traces to identify failure patterns and root causes.
    
-   Distinguish scientific errors from incorrect assumptions, implementation issues, or evaluation defects.
    
-   Define domain-specific data generation requirements and synthetic physics pipelines.
    
-   Contribute to discussions on fine-tuning strategies and methods for improving AI model performance.
    
-   Communicate technical findings and recommendations during client workshops.

## Requirements

-   Deep technical expertise in atomic-scale materials engineering or semiconductor technologies.

-   Hands-on experience with one or more of the following:
    

-   Atomic Layer Deposition (ALD)
    
-   Chemical Vapor Deposition (CVD)
    
-   Physical Vapor Deposition (PVD)
    
-   Plasma etching
    
-   Chemical Mechanical Planarization (CMP)
    
-   3D semiconductor packaging
    
-   Advanced memory or logic architectures
    

-   Familiarity with computational physics or chemistry modeling workflows, including DFT, MD, or kMC.
    
-   Ability to formulate complex, open-ended scientific workflows into structured and verifiable problem statements.
    
-   Experience defining scientific ground-truth criteria, validation methods, or evaluation frameworks.
    
-   Strong verbal and written English communication skills for technical and business workshops.

## Apply

[Apply at Gramian Consulting Group](https://apply.workable.com/gramian/j/D4CDD08F52/apply)

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