Executive snapshot
- Experience: über 4 Jahre
- Seniority: Professional
- Work mode: Nicht angegeben
- Availability: Ab 05/2026
- Region: Deutschland / EU
- Focus: Automotive, E-Mobility, Industrial Electronics, Functional Safety
At a glance
Profile ID
DP-11992
Role
Embedded Software Developer, Embedded Systems Development Engineer, Functional Safety Specialist (Embedded)
Seniority
Professional
Experience
über 4 Jahre
Work mode
Nicht angegeben
Availability
Ab 05/2026
Region
Deutschland / EU
Languages
German: C1, English: C1
Engagement models
Festanstellung, Projektarbeit, Functional Safety + Automotive, ISO 26262 / Functional Safety
Indicative rate
Nicht angegeben
Short profile
Experienced Embedded Software Developer with over 4 years of practical experience in the development, integration, and validation of hardware-proximate embedded software. Specialized in C/C++, Python, real-time systems, and Linux-based environments. Currently a Master's student in Electromobility, focusing on Automotive Embedded Systems and Functional Safety, motivated to develop robust software solutions for safety-critical applications. Key profile strengths include Functional Safety + Automotive, ISO 26262 / Functional Safety. A video introduction is already available.
Focus (domains)
AutomotiveE-MobilityIndustrial ElectronicsFunctional SafetySoftwareEmbeddedTestingFunctional Safety + AutomotiveISO 26262 / Functional Safety
Core skills
C/C++PythonReal-time SystemsEmbedded LinuxHardware-proximate Software DevelopmentDebuggingTest AutomationSystem AnalysisPerformance OptimizationCANoeEmbeddedHardwareJiraMATLABSoftwareTestingFunctional SafetyFunctional Safety + Automotive
Tools & technologies
CANoeJiraMATLABQEMUFreeRTOSYocto LinuxEmbeddedHardwarePythonSoftwareTesting
Track record & project highlights
Porting of a FRET-based analysis environment from FreeRTOS to Yocto Linux for MPU-based embedded systems. Setup of reproducible test environments in QEMU with snapshots and record/replay for system validation. Analysis of real-time behavior and identification of performance bottlenecks using trace data. Development of a test and trace-based pipeline for validating system behavior and regression tests.
