R&D Engineer – Characterisation, Data Analysis & Measurement Technology (MEMS)
Bosch Lihat semua pekerjaan
- Batu Kawan, Pulau Pinang
- Tetap
- Sepenuh masa
- 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)
- 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
- 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
- Validate new test methods before production introduction
- Define limitations, accuracy, and uncertainty of measurement methods
- Document and standardize solutions for cross-site usage
- Work across disciplines: device physics, electronics, software, and production
- Collaborate with international teams and contribute to global MT alignment
- 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
- 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
- Experience with MEMS sensors or inertial measurement systems
- Lab/fab environment experience
- Knowledge of statistics (DOE, correlation analysis, uncertainty)
- Experience with automated test systems
- 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
- 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
- Leave Entitlement e.g: Annual Leave, Medical Leave and etc
- Company Insurances and etc