Project Engineer - Predictive Analytics & Digital Maintenance – Frauenfeld

How You Can Make An Impact

• Work on data driven maintenance projects across the full value chain - from sensors to onboard architecture to communication gateways to off board analytics systems
• Contribute to the development of condition monitoring use cases by identifying how to leverage available data for condition monitoring
• Contribute to the development, design, and scaling of condition monitoring solutions within the Stadler telemetry ecosystem
• Bridge onboard train architectures and off-board analytics systems to identify practical, scalable solutions
• Analyze system behavior by tracing control logic and communication flows across trains and their subsystems

How You Will Contribute

• Familiarity with TCMS architecture concepts such as CAN and TRDP
• Basic Python skills or genuine interest in developing them
• Ability to analyze and understand software using Function Block Diagrams (FBD)
• Experience with version control systems for software and documentation, including GitLab or SVN
• Ability to clearly explain technical concepts and contribute to knowledge exchange in a collaborative, cross-functional team
• Proactive problem solver, comfortable with exploring questions, proposing solutions, and adapting approaches when challenges arise
• Strong interest in leveraging data to improve maintenance
• Working fluency in English and German

Beneficial Skills

• Experience with Selectron tools
• Experience supporting or managing projects, coordinating technical teams to deliver within scope, timeline, and resource constraints
• Experience creating or guiding visualizations that support effective decision making for engineering, maintenance, and business teams
• Experience or interest in assessing technical and operational risks, including cyber related threats, and supporting mitigation planning across the digital value chain

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