ADAS SW factory

2 weeks ago

Bengaluru, Karnataka, India Mercedes-Benz Full time

Tätigkeitsbereich: Forschung & Entwicklung inkl. Design

Fachabteilung: PE SW & EE - ATG & Advanced Engineering

Gesellschaft: Mercedes-Benz Research and Development India Private Limited

Standort: Mercedes-Benz Research and Development India, Bangalore

Startdatum: sofort

Veröffentlichungsdatum:..4

Stellennummer: MERO

Arbeitszeit: Vollzeit

Join us

Aufgaben

  • Minimum 5 years of experience
  • Mission - Successfully deliver the pipeline for SWF teams for MBOS Platform for CEIC and TCU
  • Must have strong programming skills in Matlab scripting (M-script) in Automotive domain
  • Experience in Matlab, Simulink, Stateflow, Targetlink, TPT Testing, Static analysis, CI/CD
  • Experience in Auto-code generation using Embedded coder or TargetLink
  • Hands-on experience in Model In Loop (MIL), Software In Loop (SIL) Testing
  • Hands-on experience in Static analysis Tool (like MXAM/MXRAY)
  • Additional advantage with experience in working in ADAS/Powertrain/Body domain
  • Experience in Classic or Adaptive AUTOSAR is required

Responsibilities

  • End-to-End Model Based Toolchain development with adherence to Software Development Life Cycle (SDLC)
  • Design & development of Toolchain features in line with Model-Based development and Testing
  • Library development of Matlab-Simulink/Targetlink models as per specifications
  • Development of Modeling guidelines compliant with ISO, MISRA, MAAB & Daimler internal standards in collaboration with global R&D teams
  • Establish & automate end-to-end testing approaches like (Model in Loop (MiL), Software in Loop (SiL) & Processor in Loop (PiL) testing)
  • Automate (Ideate and Implement) the end-to-end model-based tool like matlab, simulink, mxam, mxray, tpt, polyspace, dSPACE Targetlink
  • Troubleshooting on issues reported from Developers using our toolchain feature and proposing solutions
  • Apply advanced tools or develop features to meet the future demands of Verifications & Validations
  • Adherence to defined Daimler Process

Qualifikationen

Education: Masters/Bachelors in computer science or Equivalent engineering – Strong analysis skills

Benefits

  • Mitarbeiterrabatte möglich
  • Gesundheitsmaßnahmen
  • Mitarbeiterhandy möglich
  • Essenszulagen
  • Betriebliche Altersversorgung
  • Hybrides Arbeiten möglich
  • Mobilitätsangebote
  • Mitarbeiter Events
  • Coaching
  • Flexible Arbeitszeit möglich
  • Betriebsarzt
  • Kantine, Café
  • Barrierefreiheit
  • Gute Anbindung
  • Parkplatz
  • Kinderbetreuung
  • Mitarbeiterbeteiligung möglich

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