MCU/MPU-based Edge AI Application Engineer

About Faraday

Faraday Technology Corporation is a leading fabless ASIC and IP provider with over 30 years of global semiconductor experience. Headquartered in Taiwan, Faraday delivers thousands of successful SoC and ASIC designs annually and supports customers worldwide across automotive, AI, networking, consumer electronics, and IoT.

𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞

We are expanding a team to develop AI-powered applications running on AT32 microcontrollers.

This role focuses on developing Edge AI applications and embedded systems, integrating sensors, cameras, and audio inputs to enable intelligent devices.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

•Develop Edge AI applications based on the AT32 AI Studio platform and AT32 MCU.

•Integrate sensors, cameras, microphones, and other peripherals into edge AI systems.

•Provide technical support to the customer.

𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

Education & Major Requirements

•Bachelor’s degree or above in Computer Science, Software Engineering, or related fields.

•Years of Experience: 2+ years of experience.

Job Requirement：

•Experience with one or more deep learning frameworks (TensorFlow / PyTorch /ONNX ).

•Proficiency in any Cortex-M / Cortex-A based MCU / MPU, such as STM32, NXP, TI, GD32, AT32, or N32.

•Proficient in commonly used IDEs such as Keil, IAR, and VS Code.

•Hands-on experience in MCU Video/Audio projects; proficiency in Digital Image sensor, I2S, LCDC, and Codec protocols

•Experience in model deployment and performance optimization.

•Edge AI application development on MCU platforms.

Preferred Qualifications(Plus)

•Extensive experience in ARM-based MPUs

•Embedded Linux: Hands-on experience with Linux kernel porting and kernel driver development.

•Experienced with Linux and Windows operating systems: Makefile, cMake, AT command, U-boot, Kernel.

Equal Opportunity Statement

Faraday is a fair and equal-opportunity employer. We are committed to creating an inclusive, diverse, and respectful workplace where all individuals are treated fairly-regardless of gender, age, ethnicity, religion, disability, or background. All hiring decisions are based solely on qualifications, competencies, and business needs.