Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
KIEFER

Electronic Engineer

KIEFER

Electronic 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.

Posted 7/27/2026full-timeAthens • 🇬🇷 GreeceMid-LevelSenior💰 €55,000 - €70,000 per yearWebsite

Core Competencies

Role fit
Core 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

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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 & technologies
GRPC

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