Executive snapshot
- Experience: über 2,5 Jahre
- Seniority: Young Professional
- Work mode: Nach Absprache
- Availability: Nach Absprache
- Region: Süddeutschland
- Focus: automotive, Embedded Systems, E-Mobility, Electronics
At a glance
Profile ID
DP-319595
Role
Development and Validation of Embedded Software for ADAS Systems
Seniority
Young Professional
Experience
über 2,5 Jahre
Work mode
Nach Absprache
Availability
Nach Absprache
Region
Süddeutschland
Languages
English: not specified, German: C1
Engagement models
Functional Safety + Automotive, ISO 26262 / Functional Safety, ISTQB
Indicative rate
Nach Absprache
Short profile
M.Sc. student in Electrical Engineering and Embedded Systems with over 2.5 years of professional experience in automotive software development. Specialized in machine learning-based camera-radar sensor fusion, MATLAB/Simulink validation, and ADAS function simulation using IPG CarMaker and Python test automation. Possesses expertise in functional safety (ISO 26262) and test management (ISTQB). Key profile strengths include Functional Safety + Automotive, ISO 26262 / Functional Safety.
Focus (domains)
automotiveEmbedded SystemsE-MobilityElectronicsSoftwareEmbeddedISTQBsecuritytestingManagement
Core skills
Sensor FusionMachine LearningADAS SimulationMATLAB/Simulink ValidationPython Test AutomationC++/ROS 2 DevelopmentLIDAR PerceptionECU FlashingUDSBLE/UWB IntegrationFunctional Safety (ISO 26262)Test Management (ISTQB)CANoeDOORSEmbeddedJiraMATLABPythonSimulinkSoftwarehardwaresecuritytestingvalidationISO 26262ISTQBManagementISTQB Foundation Level (CTFL) • Certificate ID: CTFL-126726 Languages English ProficiMATLAB/SimulinkAzure DevOpsGitHubGitJenkinsCFunctional Safety + AutomotiveISO 26262 / Functional SafetyCybersecurity / SecurityE-Mobility / Automotive / Industrial ElectronicsEmbedded Systems
Tools & technologies
MATLABSimulinkIPG CarMakerPythonC++ROS 2CANoeUDSSeggerLauterbachJenkinsJiraDOORSMATLAB/SimulinkAzure DevOpsGitHubGitCISO 26262EmbeddedSoftwarehardwaresecuritytestingvalidationISTQB
Track record & project highlights
Developed a camera-radar fusion model for ADAS systems to ensure sensor upgradeability across various 4D imaging radar generations. Implemented a C++/ROS 2 LIDAR perception pipeline for real-time track mapping and cone detection within a Formula Student project. Developed centralized low-speed driving models in MATLAB/Simulink to optimize traction control and torque distribution. Flashed and restored ECUs (BLE/UWB) via UDS with CANoe, and integrated BLE and UWB radio protocols for automotive keyless entry systems.
