Advanced Control Engineer for Semiconductor Vacuum Systems

VAT Vakuumventile AG; Haag; On-site; CHF 120,000 - 180,000; Full time

Job summary

VAT Vakuumventile AG in Haag, Switzerland seeks an experienced engineer to strengthen its R&D team focused on control theory, dynamic system modeling and optimization-based control for advanced gas delivery and pressure control in semiconductor tools.

You will develop and validate model-based control algorithms, implement on embedded hardware, and collaborate across functions with DoE experiments and cross‑functional partners.

Qualifications

• Engineering degree at MSc or PhD level in mechanical, electrical, control engineering or mechatronics.
• 4+ years of experience developing advanced control algorithms for physical or industrial systems.
• Strong foundation in control theory, modeling, identification and numerical optimization.
• Practical experience deploying control systems on embedded hardware.
• Advanced proficiency in MATLAB/Simulink and coding in C/C++ and Python.

Responsibilities

• Develop novel control algorithms for fast nonlinear processes using model-based and data-driven methods.
• Create physics-based and data-driven dynamic system models and perform validation using system identification.
• Design, simulate and deploy concepts in MATLAB/Simulink on embedded platforms and verify on experimental setups.
• Lead experiments (DoE), analyze results and document findings.
• Take technical ownership of development projects and coordinate with stakeholders and partners.

Skills

Control theory

System identification

Numerical optimization

Embedded hardware

Education

MSc or PhD in engineering

Tools

MATLAB Simulink

C/C++

Python

Job description

VAT Vakuumventile AG in Haag, Switzerland seeks an experienced engineer to strengthen its R&D team focused on control theory, dynamic system modeling and optimization-based control for advanced gas delivery and pressure control in semiconductor tools.

You will develop and validate model-based control algorithms, implement on embedded hardware, and collaborate across functions with DoE experiments and cross‑functional partners.