Lead Engineer
HCL Technologies Sweden ABSammanfattning
We are seeking a Lead Engineer specializing in plant model development for ADAS and autonomous driving systems. This role involves creating and maintaining vehicle, sensor, and environment models for various verification activities. The position requires expertise in MATLAB/Simulink, Python, and HIL systems, along with experience in automated verification frameworks. The role is focused on simulation, validation, and testing of advanced driver-assistance features and requires a strong backgroundJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Ansök senast: 2026-09-20
Publicerad: 2026-08-21
Beskrivning
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.
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.
Ansök till tjänsten
Lead Engineer
OM FÖRETAGET
HCL Technologies Sweden AB
