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Tier-1 employer in a metro and mid-level Edge AI role creates moderate candidate competition.
Requires embedded hardware, RTOS, microcontroller, and IoT protocol expertise, limiting cross-industry transferability.
Explicit 5–8 years plus mandatory embedded, RTOS, hardware, protocol, and microcontroller skills increase shortlisting rigor.
Design and deliver system-level projects for Edge AI and IoT applications using Infineon silicon and software.
Architect hardware and collaborate across teams to develop hardware-based embedded systems from concept to go-to-market support.
Translate marketing requirements into technical specifications, create documentation, and support technical training and demonstrations.
Bachelor's or Master's degree in Electrical, Computer Engineering or Electronics and Communication Engineering (required).
5-8 years of experience in embedded system design.
Experience with C/C++, RTOS (FreeRTOS or Zephyr), embedded software on microcontroller platforms such as Infineon, XMC, PSoC, STM32, Raspberry Pi.
Experience with hardware design and debugging tools (PCB schematic review, oscilloscope, logic analyzer) and IoT protocols (Wi-Fi, Bluetooth, Matter, BLE Mesh, Thread) and cloud platforms (AWS, Azure IoT Hub, Google Cloud IoT).
Experienced embedded systems engineer skilled in both hardware architecture and embedded software for Edge AI and IoT products.
Hands-on with real-time operating systems and modern IoT communication protocols, able to deliver ready-to-market system demos and evaluation platforms.
Familiar with collaborative project management, technical training, and customer engagement activities in a cross-functional environment.