Vapor Deposition Applications Lead (Equity)

Breega; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Equity (BSPCE)

Health insurance

French level paid leave

Dynamic Paris office with occasional/fl

Résumé du poste

Entalpic in Paris, France, is seeking an Applications Lead (Vapor Deposition Precursor Chemistry) to make our AI platform truly useful for real‑world precursor discovery and atomic‑scale manufacturing. You will be our experimental domain authority on precursors, connecting molecular design, deposition performance and film properties with our computational models.

You will help build the experimental backbone needed to turn AI predictions into validated discoveries: shaping our precursor

Qualifications

• PhD in chemistry or related field (not required if extensive experience).
• Several years of experience in vapor deposition precursor chemistry.
• Familiarity with Python or similar for data analysis.

Responsabilités

• Own relationships with external labs and partners; coordinate experiments and ensure high‑quality data.
• Improve quality and homogeneity of internal datasets; define data protocols and coordinate collaborators.
• Be the precursor chemistry domain authority; map precursor families to film properties.
• Contribute to experimental strategy; help decide which chemistries to explore.
• Support client delivery and partnerships; contribute to product development.

Connaissances

Vapor deposition chemistry

English fluency

Data‑driven mindset

Independent work

Cross‑functional comms

Formation

PhD in chemistry/related field

Outils

Python programming

Description du poste

Entalpic in Paris, France, is seeking an Applications Lead (Vapor Deposition Precursor Chemistry) to make our AI platform truly useful for real‑world precursor discovery and atomic‑scale manufacturing. You will be our experimental domain authority on precursors, connecting molecular design, deposition performance and film properties with our computational models.

You will help build the experimental backbone needed to turn AI predictions into validated discoveries: shaping our precursor