Embedded Systems Engineer Voice & Machine Learning Applications

Job Summary

we are looking for a passionate embedded systems engineer with strong experience in voice and machine learning applications. the role involves developing and optimizing embedded software, implementing dsp algorithms, and deploying ml models on resource-constrained hardware platforms.

Key Responsibilities

• develop and optimize embedded software using c and rtos like freertos
• perform board bring-up and hardware-software integration for embedded platforms
• implement dsp/isp algorithms with a focus on low-power and real-time performance
• port and deploy ml models using tensorflow lite micro or pytorch on embedded devices
• optimize models for size and performance using quantization and pruning techniques
• debug and optimize multicore applications using npus where applicable
• write and maintain linker scripts for gcc, iar, and arm toolchains
• develop voice-based ml features such as keyword spotting and speech recognition
• collaborate with cross-functional teams for hardware, firmware, and ml integration