25.08.2024 aktualisiert


100 % verfügbar
Embedded Systems Engineer
Berlin, Deutschland
Nur Remote
B.Sc Electrical (Electronics) Engineering, M.Sc Computer EngineeringSkills
Test-SoftwareWLANAcceptance TestingAdvanced Microcontroller Bus Architecture (AMBA)ApplikationsprüfungARM ArchitekturAudiosignalverarbeitungAutomatisiertes Test-FrameworkUnit TestingBlackbox-TestDeviceNetEmbedded C++Embedded LinuxEmbedded BetriebssystemeEmbedded Software
SKILLS :
- C, C++, C#, Python
- RTOS Development
- Firmware Architecture
- State Machine Design
- NRF Zephyr SDK
- MATLAB
- FPGA Development
- SPI/I2C/I2S/UART
- CAN/LIN/MOST
- Profibus, DeviceNet
- AWS IoT Core Integration
- WIFI & BLE
- FPGA Programming
- Audio Signal Processing
- Software Quality Testing
- Manual and automated testing
COURSES : - Algorithms for Battery Management [Systems University of Colorado System, Coursera]
- Embedded Systems [University of California, Coursera]
- Mastering Programming with MATLAB [Vanderbilt University, Coursera]
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2019
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
- Sensor system with accelerometers, vibration, temperature, and humidity sensors to assess railway track switch health
- Developed long-life optimized battery solutions to ensure sustained operational efficiency of the sensor system
- Implemented an OTA update infrastructure, enabling remote firmware updates for continuous improvement of devices
- Utilized FRAM for advanced memory management within the project, enhancing data storage capabilities with its nonvolatile, high-speed, and energy-efficient characteristics, ensuring optimal performance and reliability
- Developed a real-time fire cue system using Kinetis and ColdFire microcontrollers, integrated with FreeRTOS
- Interfaced controllers with TFT LCD displays featuring controller ICs SSD2119, ILI9341, ILI9325, ST7735, and ST7789
- Implemented parallel interfaces such as ISA, ATA, SCSI, PCI, as well as 8080 and 6080, for LCD display applications
- IoT BLE projects and product development, using diverse programming languages and toolkits (power profiler etc.)
- Architecture for data exchange among master and slave devices while interfacing with various sensors and modules
- Successfully interfaced nRF52842 and nRF52840 with Bluetooth Low Energy modules (BLE) and I2S microphones
Zertifikate
Interfacing with the Raspberry Pi
University of California, Coursera2023
Embedding Sensors and Motors
University of Colorado Boulder, Coursera2022
Mastering Programming with MATLAB
Vanderbilt University, Coursera2021
Algorithms for Battery Management Systems
University of Colorado System, Coursera2020
Embedded Systems
University of California, Coursera2020