Embedded Systems Engineer Voice&Machine Learning Applications, Bengaluru

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 Responsibilitiesdevelop 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 devicesoptimize 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 recognitioncollaborate with cross-functional teams for hardware, firmware, and ml integration