Materials Science, Semiconductor AI Expert

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Engage in technical discovery sessions with client R&D teams.

• Analyze and break down end-to-end materials discovery workflows into individual subprocesses.

• Transform real-world materials engineering challenges into organized test scenarios.

• Establish inputs, constraints, anticipated outputs, and verified golden reference solutions.

• Create scientific scoring rubrics and programmatic validation rules.

• Assess criteria such as stoichiometry, thermodynamics, and simulation stability.

• Review step-by-step AI reasoning traces to pinpoint failure patterns and root causes.

• Differentiate scientific errors from incorrect assumptions, implementation problems, or evaluation defects.

• Define domain-specific data generation needs and synthetic physics pipelines.

• Participate in discussions on fine-tuning strategies and techniques to enhance AI model performance.

• Present technical findings and recommendations during client workshops.

⛳️ Requirements

• Profound technical knowledge in atomic-scale materials engineering or semiconductor technologies.

• Practical experience with Atomic Layer Deposition (ALD), Chemical Vapor Deposition (CVD), Physical Vapor Deposition (PVD), plasma etching, Chemical Mechanical Planarization (CMP), 3D semiconductor packaging, or advanced memory and logic architectures.

• Acquainted with computational physics or chemistry modeling workflows, including DFT, MD, or kMC.

• Capability to articulate complex, open-ended scientific workflows into structured and verifiable problem statements.

• Background in defining scientific ground-truth criteria, validation methods, or evaluation frameworks.

• Excellent verbal and written communication skills in English for technical and business workshops.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and career advancement.

• Flexible working arrangements and a supportive work environment.