OpenNash Jobs
Mercedes-Benz Group

Driver Assistance Projects 62062 Mer00029Xa

Supply Chain & Logistics

Listed on Mercedes-Benz Group’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.

Apply on Mercedes-Benz Group’s careers site →

Job description

Tasks Description

Internal Job Title

  • Radar RF Integration and Simulation Engineer Job Location : Bangalore

Key Job Responsibilities

Candidate will be responsible for:

  • Automotive Radar Sensors integration
  • Electromagnetic (EM) Simulations
  • Understanding new Radar Signal Processing
  • Electromagnetic modeling of RADAR sensors inside the Vehicle
  • Analyze Vehicle Integration effects of sensor packaging and identify solutions
  • Creating various meshed models for multiple observations
  • Training new team members
  • Project Tracking
  • Working in global interdisciplinary teams
  • Reports and presentation preparation of Simulation results Eligibility Criteria Requirements:
  • Degree in Engineering/Technology or Postgraduate degree in Physics from reputed universities - FMCW, Radar Signal Losses
  • Sound knowledge of MATLAB/C++, SIMULINK/LABVIEW - Knowledge of analytical EM modeling and Experience on 3D EM simulation tools like FEKO, HFSS, CST etc.
  • Experience on antenna design, hardware development, and test
  • Experience with design for manufacturer of precision microwave assemblies that use high volume manufacturing technologies
  • Experience working in an interdisciplinary environment
  • Hands-on design experience through laboratory testing, system measurements, and troubleshooting skills Preferences:
  • German Language
  • Master’s Degree in Electronics/Electrical Engineering
  • Experience of 2-10 Yrs
  • Experience of working on RADAR sensor design, simulation and measurement
  • Antenna software skills, Circuit design, RF components experience
  • Experience of working with/in OEM - Experience of working in International Environment
  • Knowledge of Radar Cross-section estimation/Radar Clutter Simulation/Multi-target multi sensor simulation Qualifications

Key Job Responsibilities

Candidate will be responsible for:

  • Automotive Radar Sensors integration
  • Electromagnetic (EM) Simulations
  • Understanding new Radar Signal Processing
  • Creating various meshed models for multiple observations
  • Training new team members
  • Project Tracking
  • Working in global interdisciplinary teams
  • Experience working in an interdisciplinary environment
  • German Language
  • Master’s Degree in Electronics/Electrical Engineering
  • Experience of 2-10 Yrs
  • Knowledge of Radar Cross-section estimation/Radar Clutter Simulation/Multi-target multi sensor simulation Qualifications Description

Key Job Responsibilities

Candidate will be responsible for:

  • Automotive Radar Sensors integration
  • Electromagnetic (EM) Simulations
  • Understanding new Radar Signal Processing
  • Creating various meshed models for multiple observations
  • Training new team members
  • Project Tracking
  • Working in global interdisciplinary teams
  • Experience working in an interdisciplinary environment
  • German Language
  • Master’s Degree in Electronics/Electrical Engineering
  • Experience of 2-10 Yrs

Key Job Responsibilities

Candidate will be responsible for:

  • Automotive Radar Sensors integration
  • Electromagnetic (EM) Simulations
  • Understanding new Radar Signal Processing
  • Creating various meshed models for multiple observations
  • Training new team members
  • Project Tracking
  • Working in global interdisciplinary teams
  • Experience working in an interdisciplinary environment
  • German Language
  • Master’s Degree in Electronics/Electrical Engineering
  • Experience of 2-10 Yrs
  • Knowledge of Radar Cross-section estimation/Radar Clutter Simulation/Multi-target multi sensor simulation

More jobs at Mercedes-Benz Group

Similar jobs at other companies

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.