VAYUZ Technologies - Embedded Systems Engineer - Voice & Machine Learning Applications

Job Title : Embedded Voice & ML Applications Engineer

Job Description :

We are seeking a passionate and skilled Embedded Systems Engineer with expertise in Voice and Machine Learning (ML) applications. The ideal candidate will have experience in embedded software development, real-time systems, and ML model deployment on resource-constrained devices.

Key Responsibilities :

• Develop and optimize embedded software using C programming and RTOS (e.g., FreeRTOS)
• Perform board bring-up and hardware-software integration for embedded platforms
• Implement and optimize DSP / ISP algorithms with a focus on low-power consumption
• Port and optimize ML models using frameworks like TensorFlow Lite Micro or PyTorch for real-time performance
• Work on debugging and optimizing multicore applications and utilize Neural Processing Units (NPUs)
• Collaborate on ML model conversion and tuning to fit memory and real-time constraints of embedded devices
• Understand and write linker scripts (GCC, IAR, ARM) for embedded systems
• Contribute to the development of voice-based ML applications, including keyword spotting, speech recognition, and audio classification

Requirements :

Preferred Qualifications :

ref : hirist.tech)