Description

Our team in Haag, Switzerland is looking for you:
Development Engineer – Control Systems (100%)

PURPOSE OF THE ROLE

Our products are key components in any semiconductor processing tool worldwide. To extend our market leadership in advanced pressure control for sub-2 nm chip production we want to strengthen our team with experienced engineers and researchers with passion for control theory, dynamic system modelling and optimization-based control
You will be an integral part of our R&D team to develop industry leading gas control systems for semiconductor manufacturing equipment. You are a great fit for our team if you want to work on advanded control methods on embedded control hardware, enjoy taking initiative and exploring new approaches to intelligent control, and want to validate your ideas hands-on in experimental and industrial environments.

RESPONSIBILITIES:

Develop novel and differentiating control algorithms for fast and nonlinear processes using advanced model-based, optimization-based and data-driven control methods using VAT’s existing gas delivery and pressure control technology
Develop and validate physics-based, data-driven and hybrid dynamic system models using system identification methods

• Design and simulate control concepts in MATLAB Simulink, deploy them on embedded control platforms and verify their performance on on experimental test setups
• Plan, execute and document experiments (DoE) and analyze results in a systematic manner

Take technical ownership of development projects, including requirements and specification alignment with key stakeholders, concept development, rapid prototyping, experimental verification and validation on final products

• Cooperate among cross-functional teams of experts within VAT R&D organization and external technology partners
• Occasional on-site support of newly developed applications/products at customer site.

QUALIFICATIONS:

• Engineering Degree (MSc or PhD) in mechanical or electrical engineering, control engineering, mechatronics or similar
• 4+ years’ experience in developing advanced control algorithms for physical or industrial systems
• Strong foundation in control theory, dynamic system modelling, system identification and numerical optimization 

Knowledge of machine learning and optimization based control methods for dynamic systems

• Practical experience implementing and deploying control systems on embedded hardware 
• Advanced proficiency in MATLAB Simulink
• Practical experience with C/C++ and Python coding 
• Knowhow in fluid dynamics and vacuum systems is advantageous
• Hands on and systematic engineering mindset, strong analytical problem-solving and team spirit

Interested? Then we look forward to receiving your application 

You can expect a dynamic and successful company where innovation, courage, fairness, openness and transparency are encouraged and your ideas are welcome.
www.vatvalve.com