Voice / ML Firmware Engineer

Position : Voice / ML Firmware Engineer

Company : Tek Spikes

Location : Bangalore

Overview :

Tek Spikes is seeking a skilled Voice / ML Firmware Engineer to contribute to our innovative projects involving voice recognition and machine learning technologies. In this role, you will develop firmware for embedded systems that leverage voice processing algorithms and machine learning models. You will work closely with cross-functional teams to ensure seamless integration of voice capabilities into our products, enhancing user experiences through advanced technology.

Key Responsibilities :

• 5+ years  of experience in  Embedded domain  or related field with a focus on  Voice  and  ML  Applications.
• Design, develop, and maintain firmware for embedded systems focusing on voice recognition and machine learning functionalities.
• Good technical writing skills.
• Strong fundamentals in programming using  C , embedded system concepts, software build process, and hands on experience in board bring-up.
• Sound knowledge of working with  RTOS  such as  FreeRTOS .
• Experience with optimizing embedded applications for low power and high performance.
• Knowledge of digital signal processing / Video / Image signal processing.
• Knowledge of ML training frameworks ( Tensorflow lite micro ,  Pytorch  etc.)
• Experience of porting ML models on embedded systems and optimizing them for real time
• performance.
• Experience in debugging multicore applications.
• Good understanding of microcontroller architectures ( Arm Cortex-M ,  32-bit ) and  NPU .
• Knowledge on working with linker scripts for different toolchains such as  GCC ,  IAR ,  Arm  etc is an added advantage.
• Implement and optimize voice processing algorithms for performance and resource efficiency.
• Collaborate with machine learning engineers to integrate models into firmware, ensuring high accuracy and low latency.
• Conduct testing and validation of voice and ML features in real-world applications, improving performance based on feedback.
• Work alongside hardware engineers to troubleshoot and resolve integration issues affecting voice functionalities.
• Keep abreast of advancements in voice recognition and ML technology, applying new techniques to enhance our products.
• Document the development process, including design specifications, testing protocols, and deployment procedures.

Requirements

Qualifications :

Experience in optimizing firmware for resource-constrained environments and enhancing voice experiences is highly desirable.

Benefits