Development Engineer: Applied AI/ML and Intelligent systems

Role

Full-time

Permanent

Mid

Engineering

Logistics

Haag, St. Gallen

Requirements

Master's

EU/EFTA permit

Skills

Data processingGenerative AIMachine learningPythonSoftware engineeringFeature engineeringModel development toolsEvidence-based decision-makingGraph-based anomaly detectionAI/ML project productionalisationMultimodal ModelsAI-enabled tools

Languages

English

Description

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 a passion for applied AI/ML, system modelling, data driven engineering and intelligent systems.
You will be an integral part of our team and drive advanced R&D in the following areas: industrial time-series analytics, statistical machine learning, AI/ML infrastructure and toolchains, Generative AI applications, AI agents, multimodal data fusion, or Edge AI deployment for smart semiconductor manufacturing equipment.
You are a great fit for our team if you want to work at the forefront of applied AI/ML for semiconductor hardware control. You enjoy taking initiative, exploring new approaches to intelligent control systems, and validating your ideas hands-on in real experimental and industrial environments.

Responsibilities

Drive advanced R&D in industrial time-series analytics, statistical machine learning, AI/ML infrastructure and toolchains, Generative AI applications, AI agents, multimodal data fusion, or Edge AI deployment.
Work at the forefront of applied AI/ML for semiconductor hardware control.
Take initiative and explore new approaches to intelligent control systems.
Validate ideas hands-on in real experimental and industrial environments.

Requirements

MSc or PhD in data science and machine learning, physics, mathematics, mechanical engineering, electrical engineering, control engineering, mechatronics, chemical engineering or a related field.
Expertise in one or more focus areas: applied AI/ML domains, such as time-series machine learning, statistical machine learning, Generative AI, multimodal AI, AI agents, Edge AI, or ML infrastructure.
Strong programming skills in Python, with experience in scientific computing, data processing, model development, and software engineering best practices.
Experience with industrial or sensor-based data, including time-series signals, process data, logs, recipes, or equipment data.
Ability to develop AI/ML solutions from concept to prototype, including data preparation, model development, validation, deployment, and documentation.

Tech stack

PythonMATLABSimulink

Benefits

Become part of a passionate, international team where your voice is heard and your ideas matter.
Career growth is supported.

Company

Vatvalve

Manufacturing

At VAT, we change the world with vacuum solutions. As the world-s leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with manufacturing sites in Switzerland, Malaysia and Romania, as well as sales and service hubs around the world. We are guided by our passions integrity, teamwork, customer centricity, and innovation - always working together as #oneVAT. Joining us means becoming part of a passionate, international team where your voice is heard, your ideas matter, and your career growth is supported.