Systems Engineer: AI-Driven MBSE for Diagnostic Systems

LHH

Zug

Vor Ort

CHF 110.000 - 160.000

Vollzeit

Vor 8 Tagen
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Zusammenfassung

LHH is recruiting a Systems Engineer (m/f/d) for a leading international healthcare and diagnostics client based near Rotkreuz. You will drive system development and integration for complex diagnostic systems in an MBSE-driven R&D environment.

You will own requirements engineering, manage interfaces, and support risk analysis while coordinating with electronics, mechanics, and software teams. Knowledge of AI-enabled approaches and SysML is a plus.

Qualifikationen

  • Background in development within a regulated environment (IVD).
  • 3–5 years in system definition and requirements engineering.
  • Experience across electronics, mechanics, and software domains.
  • Fluent English; German at B2 preferred.

Aufgaben

  • Own Requirements Engineering and Elicitation as well as Requirements Management.
  • Drive and coordinate the requirements change control process.
  • Contribute to development documents, Traceability analysis, Product risk analysis, and configuration management.
  • Collaborate with HW and SW Engineering, Operations, Customer Support, Clinical Development and Medical Affairs, and Regulatory Affairs.
  • Promote AI/Model-Based Systems Engineering (MBSE) approaches in design and documentation.

Kenntnisse

Requirements engineering
MBSE
Systems thinking
Cross-functional collaboration
Electrical/ Electronics
Software integration
English (advanced)
German (B2)

Ausbildung

Bachelor/Master in Mechatronics or related

Tools

SysML
Enterprise Architect

Jobbeschreibung

LHH is recruiting a Systems Engineer (m/f/d) for a leading international healthcare and diagnostics client based near Rotkreuz. You will drive system development and integration for complex diagnostic systems in an MBSE-driven R&D environment.

You will own requirements engineering, manage interfaces, and support risk analysis while coordinating with electronics, mechanics, and software teams. Knowledge of AI-enabled approaches and SysML is a plus.

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