R&D Engineer – Characterisation, Data Analysis & Measurement Technology (mems)

R&D Engineer – Characterisation, Data Analysis & Measurement Technology (MEMS)

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

Qualifications

Required Qualifications

• Bsc or MSc in Electrical Engineering, Physics, Mechatronics, or similar
• Solid foundation in physics, electronics, signal behavior
• Strong programming skills (C/C++/C# or Python)
• Experience working with real measurement data

What We Expect You to Be Comfortable With

• Writing code to analyze and process measurement data
• Reading schematics and understanding measurement hardware
• Working with imperfect, noisy, real-world data
• Debugging both software and measurement setups
• Thinking in terms of cause–effect, not just results

Nice to Have

• Experience with MEMS sensors or inertial measurement systems
• Lab/fab environment experience
• Knowledge of statistics (DOE, correlation analysis, uncertainty)
• Experience with automated test systems

What You Get

• Real ownership of measurement solutions and data interpretation
• Exposure to complex, multidisciplinary engineering problems
• Opportunity to shape how measurements are done, not just execute them

Success in This Role Looks Like

• You identify affects others overlook
• Your measurement setups produce trusted, reproducible data
• You can explain why something happens, not just show that it does
• Your code and methods are reused by others

Additional Information

• Leave Entitlement e.g: Annual Leave, Medical Leave and etc
• Company Insurances and etc