R&D System Performance Associate — Beverages Tech

Nestlé S.A.; Orbe; Hybrid; CHF 110,000 - 140,000; Full time

Benefits offered by this job

Hybrid work options

Learning and development opportunities

Performance-based bonus

Healthcare contribution

Pension plan

Parental leave

Employee discounts

Job summary

Nestlé S.A. is seeking an Associate R&D Specialist System Performance to drive the capability of in-home beverage systems, such as Nespresso and Nescafé Dolce Gusto, ensuring a perfect cup and user experience.

You will collaborate with Front End Innovation, Development and Industrialization teams, own aspects of system performance, and leverage data-driven tools to accelerate learning and decision-making in a global context.

Qualifications

• Strong knowledge of physics and fluid mechanics to solve technical challenges.
• Ability to analyze data and use modelling to guide decisions.
• Experience with Python or R for data analysis and insights.

Responsibilities

• Drive system performance to ensure consistent cup quality and user experience across Nestlé beverage systems.
• Build science-based understanding of machine, product and packaging interactions to inform design decisions.
• Use models, data analysis and digital tools to accelerate learning beyond physical testing.
• Provide clear physical explanations of system phenomena to support technical decisions.
• Support troubleshooting, root cause analysis and commissioning for project delivery.
• Strengthen cross-functional collaboration and benchmarking to support innovation.

Skills

Physics

Fluid mechanics

Data analysis

Python

R

Cross-functional collaboration

Bilingual: French & English

Tools

Python

R

Job description

Nestlé S.A. is seeking an Associate R&D Specialist System Performance to drive the capability of in-home beverage systems, such as Nespresso and Nescafé Dolce Gusto, ensuring a perfect cup and user experience.

You will collaborate with Front End Innovation, Development and Industrialization teams, own aspects of system performance, and leverage data-driven tools to accelerate learning and decision-making in a global context.