Executive snapshot
- Experience: Ca. 5 Jahre (Werkstudenten- und Praktikumserfahrung)
- Seniority: Junior
- Work mode: Nicht angegeben
- Availability: Ab August 2026
- Region: Deutschland / EU
- Focus: Automotive, Medical Technology, Embedded Systems, Driver Assistance Systems
At a glance
Profile ID
DP-149344
Role
Software Development, Embedded Systems, Robotics, Driver Assistance Systems, Medical Technology
Seniority
Junior
Experience
Ca. 5 Jahre (Werkstudenten- und Praktikumserfahrung)
Work mode
Nicht angegeben
Availability
Ab August 2026
Region
Deutschland / EU
Languages
Arabic: C2 (native), German: C2 (native), English: C2 (native)
Engagement models
Festanstellung
Indicative rate
Nicht angegeben
Short profile
Candidate A is a dedicated Software Developer with profound experience in Embedded Systems, Robotics, and Driver Assistance Systems. Possessing practical knowledge in algorithm development, GUI applications, and system integration, their expertise includes working with C++, Python, ROS/ROS2, and Qt in various project contexts. The candidate has contributed to projects in the automotive and medical technology sectors and is proficient in data perception and processing for sensors such as LiDAR and ultrasound. They will complete their Bachelor's degree in Automotive Technology (Mechatronics) in July 2026 and will be available from August 2026.
Focus (domains)
AutomotiveMedical TechnologyEmbedded SystemsDriver Assistance SystemsRoboticsSoftwareMedicalEmbeddedTesting
Core skills
Software DevelopmentEmbedded Software DevelopmentData ProcessingAlgorithm DevelopmentGUI DevelopmentSystem IntegrationTestingEmbeddedHardwareMATLABPythonSimulinkSoftwareE-Mobility / Automotive / Industrial ElectronicsEmbedded Systems
Tools & technologies
C++PythonROSROS2QtCMakeGitCUDAMATLABSimulinkTTSCEmbeddedHardwareSoftwareTesting
Track record & project highlights
Development of GPU-based collision detection for medical robotics using Python, C++, and CUDA. Implementation of Qt GUIs and ROS2 integration for various software projects in medical technology. Conception and realization of a data perception and preparation pipeline for intrinsic calibration of LiDAR sensors. Design, implementation, and testing of functions and algorithms for ultrasound-based driver assistance systems. Creation of graphical user interfaces for data visualization in driver assistance systems. Embedded software development and sensor control.
