Vehicle Energy Efficiency Bench Marking - Bengaluru, India - Mercedes-Benz Research and Development India Private Limited
2 weeks ago
Description
Aufgaben:
- Good knowledge in development of automotive systems: Powertrain (Conventional, full electric / hybrids -HEVs & BEVs), HVAC systems, and energy recuperation systems / technologies.
- Technical expertise in measurement & data analysis of different homologation cycles & Vehicle Components. Hands On experience in Automotive Testing & Calibration would be an added advantage.
- Good knowledge in (Hybrid) powertrain systems - Low Voltage and High Voltage Powernet supply, Combustion/Electric Engine, auxiliary systems etc. Good communication and ability to handle and/or interact with measurement test teams is necessary.
- Good hands-on experience in Matlab Signal Processing Toolbox or any other similar software like DIADem or Vector CANape or INCA or Python. Knowledge of automation /scripting will be advantageous.
- Ability to interpret vehicle measurement data and provide engineering insights / conclusions is essential. Develop analytical methods in-house tools/scripts to analyze & compare different measurement datasets per project requirements.
- Knowledge of AI/ML techniques / algorithms and software would an added advantage like Python / Matlab to modify dataset per requirements and setting standardized process.
- Good knowledge of statistical methods used in signal analysis and processing would be added advantage.
- Knowledge of cloud computing & Storage. Handling big Data would be added advantage.
- Excellent interpersonal and communication skills. German language skills would be advantageous.
Essential and important soft skills:
- ability to work seamlessly across the functional teams, good team player, self-motivated, collaborative, open minded to co-create with teams for best outcome.
Education:
BE, ME or M.Tech in Aeronautics, Automobile, Mechanical, Mechatronics, Data Science with Automotive domain knowledge
Experience:
Relevant professional experience of as per Job description for 2-8 yrs.
Qualifikationen:
- Good knowledge in development of automotive systems: Powertrain (Conventional, full electric / hybrids -HEVs & BEVs), HVAC systems, and energy recuperation systems / technologies.
- Technical expertise in measurement & data analysis of different homologation cycles & Vehicle Components. Hands On experience in Automotive Testing & Calibration would be an added advantage.
- Good knowledge in (Hybrid) powertrain systems - Low Voltage and High Voltage Powernet supply, Combustion/Electric Engine, auxiliary systems etc. Good communication and ability to handle and/or interact with measurement test teams is necessary.
- Good hands-on experience in Matlab Signal Processing Toolbox or any other similar software like DIADem or Vector CANape or INCA or Python. Knowledge of automation /scripting will be advantageous.
- Ability to interpret vehicle measurement data and provide engineering insights / conclusions is essential. Develop analytical methods in-house tools/scripts to analyze & compare different measurement datasets per project requirements.
- Knowledge of AI/ML techniques / algorithms and software would an added advantage like Python / Matlab to modify dataset per requirements and setting standardized process.
- Good knowledge of statistical methods used in signal analysis and processing would be added advantage.
- Knowledge of cloud computing & Storage. Handling big Data would be added advantage.
- Excellent interpersonal and communication skills. German language skills would be advantageous.
Essential and important soft skills:
- ability to work seamlessly across the functional teams, good team player, self-motivated, collaborative, open minded to co-create with teams for best outcome.
Education:
BE, ME or M.Tech in Aeronautics, Automobile, Mechanical, Mechatronics, Data Science with Automotive domain knowledge
Experience:
Relevant professional experience of as per Job description for 2-8 yrs.
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