Embedded Voice & ML Application Engineer

Job Summary

we are seeking an experienced embedded engineer with a strong foundation in embedded c programming and machine learning on edge devices. the role focuses on developing real-time voice and ml applications on low-power, resource-constrained hardware using rtos and ml frameworks like tensorflow lite micro.

Key Responsibilities

• develop embedded software in c for voice and ml-based applications
• implement real-time processing using rtos (freertos)
• conduct board bring-up and low-level hardware integration
• optimize embedded systems for low power and high performance
• port and deploy ml models using tensorflow lite micro or pytorch
• debug and optimize multicore applications with npus
• write and manage linker scripts using gcc, iar, or arm toolchains
• handle dsp/isp processing for audio and signal flows