MCU Firmware Engineer
Advantech
MCU Firmware Engineer
Advantech
Edge computing platforms and AI solutions
We are seeking a skilled and experienced MCU Firmware Engineer to design, develop, and optimize embedded software for our next-generation products. In this role, you will work closely with hardware and software teams to bring microcontrollers to life and build robust, reliable embedded systems.
Requirements & Qualifications
• Microcontroller Expertise: Strong development experience with MCUs from major vendors, including Renesas, Infineon, STMicroelectronics, NXP, or Nuvoton.
• OS Experience: Proficient in FreeRTOS or any other Real-Time Operating System (RTOS) architecture.
• Hardware Interfacing: Deep understanding and hands-on experience with MCU peripheral interfaces, including:
1. GPIO, ADC/DAC
2. Timers, Clock Systems, PWM, Watchdog and RTC
3. Interrupts and DMA
4. I2C, SPI, Serial/UART, CAN bus, USB
5. Low-Power modes
• Software Updates: Proven track record of developing and implementing Firmware OTA upgrade mechanisms.
Preferred / Plus Skills :
Experience with any of the following is highly desirable and will be considered a strong plus:
•I ndustrial Protocols: Familiarity with Modbus or IPMI protocols.
• Automotive Architecture: Experience with AUTOSAR architecture and MCAL (Microcontroller Abstraction Layer) development.
• Functional Safety: Knowledge of safety standards such as IEC 61508 or ISO 26262.
• Embedded Security: Experience implementing hardware security features, cryptography, or ARM TrustZone.
Advantech provides IoT intelligent systems and embedded platforms, focusing on edge computing and edge AI across five markets. It combines Edge Computing hardware, the WISE-IoT software platform, and sector-specific Edge AI solutions to run data processing and AI tasks close to where data is generated, with an orchestration model that connects hardware, software, and domain experts. Unlike competitors that only offer parts of the stack, Advantech delivers an integrated hardware-software ecosystem and a formal orchestration approach to enable industrial ecosystems and partner collaboration. Its goal is to enable an Intelligent Planet by expanding edge infrastructure, advancing industrial intelligence, and co-creating business ecosystems with partners.
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