Lead Engineer
Publiceringsdatum: 2026-08-21
Söker du efter ett jobb inom administration, ekonomi, juridik-sektorn? Positionen som exploateringsingenjör hos HCL Technologies Sweden AB är öppen och väntar på en lämplig kandidat - kan det vara du? HCL Technologies Sweden AB behöver någon som vill arbeta heltid. Om du är tillgänglig för tills vidare, ta en titt på denna jobbannons.
Denna position är tillgänglig i Göteborg. HCL Technologies Sweden AB söker efter fler duktiga individer som vill arbeta som exploateringsingenjör. De har just nu fem lediga jobb som exploateringsingenjör som kan vara av intresse för dig. Sista ansökningsdagen till jobbet som exploateringsingenjör hos HCL Technologies Sweden AB är söndag den tjugonde september 2026.
Jobbannons
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.