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Embedded Systems Engineer Voice & Machine Learning Applications

Embedded Systems Engineer Voice & Machine Learning Applications

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Vayuz Technologies

0 - 1 years

10 - 14 Lacs

Bengaluru

Posted:5 days ago| Platform:

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Skills Required

dsp isp machine learning embedded systems debugging jtag algorithms python gcc embedded software development embedded linux freertos tensorflow speech recognition rtos linux pytorch iar machine learning algorithms arm real time operating system ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title Embedded Voice & ML Applications Engineer. 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. . Strong proficiency in C programming for embedded systems. Hands-on experience with FreeRTOS or similar RTOS. Solid understanding of DSP, ISP, and embedded low power optimization techniques. Experience with ML frameworks such as TensorFlow Lite Micro or PyTorch for embedded systems. Familiarity with model quantization, pruning, and inference optimization. Experience with multicore processors and NPUs. Knowledge of linker scripts and memory layout for embedded toolchains (GCC/IAR/ARM). Strong debugging skills and use of tools like JTAG, logic analyzers, and oscilloscopes. Preferred Qualifications. Experience in voice/audio processing. Knowledge of Embedded Linux or bare-metal programming. Exposure to Edge AI and TinyML concepts. (ref:hirist.tech).

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Vayuz Technologies

Information Technology & Services

Navi Mumbai

51-200 Employees

446 Jobs

Key People

Vivek Gupta

CEO
Ravi Singh

Co-Founder & CTO
Sana Khan

Head of Marketing

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Embedded Systems Engineer Voice & Machine Learning Applications