R&D & Validation Engineer

R&D & Validation Engineer

We are looking for a hands-on, innovation-driven R&D & Validation Engineer to join our Research & Development team. In this role, you will lead testing, verification, and validation of new technologies - from early-stage concepts to evaluated solutions - supporting data-driven decisions and future product development.

This role requires a strong experimental mindset, curiosity, and the ability to translate ideas into structured testing and meaningful insights.

What You’ll Do

• Plan, design, and execute experimental testing and validation activities for new and emerging technologies
• Evaluate materials, resins, and technologies from internal and external sources for compatibility with our systems
• Translate concepts into structured experiments, analyze results, and recommend next steps
• Generate clear technical insights to support R&D, Product, and Chemistry teams (e.g., performance, durability, print time)
• Collaborate closely with multidisciplinary teams (Mechanical, Electronics, Software, Chemistry)
• Identify technical challenges and propose innovative, practical solutions
• Support and advance lab capabilities, including implementation of new tools and technologies
• Work with machine vision and analytical tools to evaluate performance and quality
• Document and communicate findings through clear technical reports and presentations

What We’re Looking For

• B.Sc. or M.Sc. in Mechanical Engineering, Materials Science, Electrical Engineering, Physics, or a related field
• 3+ years of hands-on experience in an experimental / development lab environment
• Experience in inkjet / printing industry (digital printing, printed electronics, inkjet technologies) – must
• Experience with testing, validation, or verification processes in R&D
• Familiarity with Xaar inkjet technology or ImageXpert analysis tools 
• Strong analytical skills, including experimental design and data analysis
• Ability to work independently, take initiative, and drive activities end-to-end
• Strong communication skills and ability to work across multidisciplinary teams
• High level of English (written and spoken)
• Familiarity with machine vision or analytical tools – advantage
•  Travel (~10%)