VAYUZ Technologies - Embedded Voice & ML Application Engineer

Job Description :

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.