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Lead Engineer Required Skills Plant Model Development using MATLAB/Simulink and Stateflow for ADAS/Autonomous Driving system simulation, validation, and closed-loop testing Development and maintenance of vehicle, sensor, and environment plant models to support MIL, SIL, HIL, and VIL verification activities ADAS/AD software and simulation model development using Python, MATLAB/Simulink, and Stateflow Experience with HIL systems, SIL, MIL, VIL, and real-time simulation environments Experience in Continuous Integration (CI/CD) and automated verification frameworks Hands-on experience with the dSPACE toolchain, including: ModelDesk ConfigurationDesk AutomationDesk ControlDesk SCALEXIO ASM (Automotive Simulation Models) Knowledge of ADAS sensor modeling and simulation, including Cameras, Radar, LiDAR, and Ultrasonic Sensors Experience with scenario-based testing and virtual validation environments such as CarMaker, PreScan, CARLA, MATLAB Driving Scenario Designer, and dSPACE ASM Automation of software testing, regression testing, and validation workflows Experience with CAN, CAN FD, Automotive Ethernet, FlexRay, and automotive communication protocols Understanding and validation of ADAS features including: Adaptive Cruise Control (ACC) Autonomous Emergency Braking (AEB) Lane Keeping Assist (LKA) Traffic Sign Recognition (TSR) Park Assist Sensor Fusion Systems Meritorious VCC experince Experience in ADAS software platform development, including middleware and AUTOSAR architectures Hands-on experience with ModelDesk for vehicle, road, traffic, environment, and sensor configuration in simulation and HIL environments Knowledge of sensor fusion, perception, localization, object tracking, and trajectory planning algorithms Experience in calibration, integration, and validation of camera, radar, and LiDAR systems Experience in vehicle-level verification and validation of ADAS functions Experience with scenario generation, edge-case testing, and simulation-based homologation Experience in ADAS Domain Development, Integration, and Testing Familiarity with ISO 26262, ISO 21448 (SOTIF), ASPICE, and NCAP requirements Exposure to Autonomous Driving and Virtual Validation ecosystems.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.