Trucks & Buses - Model Based Engineering SW developer

☞ Mercedes-Benz Research and Development India...

View: 111

Update day: 06-05-2024

Location: Bengaluru / Bangalore Karnataka

Category: Electrical / Electronics

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Job content

Aufgaben

Key Job Responsibilities:
1. Responsible for the software design and development of AUTOSAR based Simulink, TargetLink models as per the MAAB guidelines with good software engineering practices.
2. Responsible for Requirement Analysis, effort estimations and work breakdown.
3. Responsible for reviewing Test Specifications, Code Coverage, Model Quality and Model Validation (MIL, SIL) to ensure that developed model is bug-free and adheres to Model guidelines.
4. Responsible for mentoring and overseeing the activities of the Model Development team with an aim to improve the overall Model Based Engineering Competency within the team.

Qualifikationen

Basic Qualification:
  • Bachelors or Master’s Degree in Computer Science/Electrical & Electronics/ Masters in Computer Applications
  • 2-5 years of experience in automotive Model Based development activities
  • Model Based development, implementation & Validation of functions using Matlab/Simulink/TargetLink or ASCET
  • Good understanding of AUTOSAR architecture and the AUTOSAR based model development.
  • Must have played a key role in the complete lifecycle of at least 2 to 3 Model Based Development projects.
  • Knowledge of typical automotive software development processes & agile methodologies
  • Must be aware of MAAB guidelines and must have a good experience in tools like MXAM (Model Quality) and MXRAY(Model Metrics).
  • Good exposure to configuration management tools like PVCS, SVN, GIT and requirement management tool, DOORS is preferred.

Desired Skills and Experience
Preferred Qualification:
  • Good communication skills and ability to work in & contribute as a good team player
  • Experience in the automotive field and exposure of multi-cultural environment is an added advantage.
  • Basic knowledge on German language preferred.
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Deadline: 20-06-2024

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