Posted:4 days ago|
Platform:
Work from Office
Full Time
We are looking for an experienced Embedded Voice & ML Applications Engineer with a strong background in embedded systems and machine learning for edge devices. The role involves developing and optimizing real-time applications for voice and ML use cases on low-power, resource-constrained platforms. Key Responsibilities : - Develop embedded software in C for voice and ML applications. - Work with RTOS (FreeRTOS) for real-time processing. - Perform board bring-up and low-level hardware interfacing. - Optimize systems for low power and performance efficiency. - Implement and port models using TensorFlow Lite Micro or PyTorch. - Debug multicore applications and integrate with NPUs. - Work with linker scripts (GCC, IAR, ARM) and embedded toolchains. - Handle DSP/ISP processing and real-time data flows. Required Skills : - 5+ years of experience in embedded development. - Strong in C programming, RTOS, and hardware-level debugging. - Experience with ML frameworks and real-time model deployment. - Good understanding of multicore systems, NPU, and signal processing. - Familiarity with embedded toolchains and linker scripts.
Vayuz Technologies
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