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System Engineer (Automotive Industry)

Other • Remote • Full-time • Sweden Sweden

Capgemini Engineering is looking for a system engineer for complex, advanced system design in the automotive industry, helping clients develop, systemize, integrate, verify and launch new systems.

Responsibilities

  • ▹Function design, systemization, function realization and integration in an agile team
  • ▹Requirements management and decomposition
  • ▹Function verification and validation (V&V) in virtual and physical test environments
  • ▹Collaboration with colleagues across different teams

Requirements

  • ▹Relevant educational background
  • ▹Minimum 4+ years of work experience in a relevant domain
  • ▹Ability to understand and apply architectural principles to SW system design
  • ▹Understands and applies UML to represent SW system design
  • ▹Safety thinking and experience applying safety requirements during the SW system design process
  • ▹Experience with SE-Tool or System Weaver
  • ▹Awareness of SW development processes
  • ▹Awareness of ISO 26262 functional safety processes
  • ▹Awareness of R155 cybersecurity processes
  • ▹Swedish driving license, or in the process of obtaining one

Nice to have

  • ▹Software integration
  • ▹Function integration and testing in HIL and SIL environments
  • ▹Work experience with autonomous functions

Soft skills

teamworkdedicationcollaboration with colleagues across teamsshared passion for the work

What we offer

  • ▹Flexible work arrangements, remote work and flexible hours
  • ▹Career growth programs and diverse professions
  • ▹An education library with more than 250,000 courses and certifications

About the company

Capgemini is the world leader in engineering services, bringing together a global team of engineers, scientists and architects to help the world's most innovative companies. It is a group of around 340,000 team members in more than 50 countries, with over 55 years of heritage, delivering end-to-end services from strategy to engineering, with market-leading capabilities in AI, generative AI, cloud and data.

Education: Releváns szakirányú, mérnöki végzettség

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