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Electronic Engineer
KIEFERElectronic Engineer managing electronic and network-layer integration of AI and robotics systems. Working with multi-component systems and embedded microcontrollers while collaborating with AI and technology experts.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing electronic and network-layer integration of multi-component systems, with proficiency in configuring embedded microcontrollers and establishing low-latency data streaming links. Strong troubleshooting skills in complex hardware setups are essential for success in this role.
Highest-signal resume keywords
Embedded Microcontroller ProgrammingNetworking ConfigurationLow-Level ProtocolsHardware IntegrationBilingual in Greek and English
ATS Keywords
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Hard Skills
Embedded MicrocontrollersESP32STM32Low-Level ProtocolsData StreamingSignal ConvertersPower InterfacesProtocol TroubleshootingData VerificationHardware Communication
Soft Skills
High AutonomyBuilder MindsetProblem-Solving
Tools & Technologies
NVIDIA Jetson AGX ThorNVIDIA Jetson OrinLocal Networking ArchitectureESP-NOWMQTTSerial/UARTGRPC
Industry Keywords
Electronics EngineeringHardware IntegrationTelemetry SensorsLiDARThermal Cameras
Tech Stack
Tools & technologiesGRPC
About the role
Key responsibilities & impact- Manage the electronic and network-layer integration of multi-component systems (LiDARs, thermal cameras, and telemetry sensors) into single-board edge computers (NVIDIA Jetson AGX Thor/Orin)
- Configure and program embedded microcontrollers (ESP32, STM32) to ensure seamless hardware-layer execution and control
- Select, test, and deploy appropriate hardware adapters, signal converters, and power interfaces (e.g., PoE, serial converters) to link diverse hardware blocks
- Establish and configure low-latency data and video streaming links from cameras to onboard systems, defining and verifying exact data outputs, formats, and frame rates
- Configure and maintain onboard local networking architecture (switches, local routing, IP assignments) and low-level communication protocols (ESP-NOW, MQTT, Serial/UART, gRPC) dedicated to robot device telemetry
- Troubleshoot protocol conflict issues and signal drops between hardware endpoints and edge servers in the lab
Requirements
What you’ll need- 3–5 years of hands-on experience as an Electronics, Embedded, or Hardware Integration Engineer
- Solid experience with networking connections (LAN, switches, routing) and integrating hardware components via adapters/converters
- Strong knowledge of how hardware components communicate and how to extract/verify raw data streams from sensors and IP cameras
- Proficiency with microcontrollers (ESP32, STM32) and low-level protocols (ESP-NOW, MQTT, UART)
- Fluency in both Greek and English to ensure seamless local teamwork and documentation
- High autonomy, a strong builder mindset, and the practical ability to troubleshoot complex physical-layer setups under laboratory conditions
Benefits
Comp & perks- On-site work in the Athens office
- AI-native environment: real challenges in the AI and Robotics sphere, possibility to work with the technologies from the top-tier companies (with a unique opportunity to work directly with state-of-the-art electronics, sovereign compute infrastructure, and world-class hardware components from global leaders like NVIDIA)
- Possibility to get training from the Robotics companies
- Culture: engineering-first, high autonomy, low bureaucracy – your ideas shape the company's AI direction