Firmware Engineer

Role Overview: As a Firmware Engineer at KritiLabs, you will design, develop, test, and debug firmware for embedded systems using languages like Embedded C/C++ and Python. You will collaborate with hardware engineers to ensure compatibility between firmware and electronic components. Additionally, you will optimize firmware for performance, memory usage, and power consumption, especially when running machine-learning models. Your role will involve understanding and integrating machine learning models for edge deployment while considering the resource constraints of the device. You will also be responsible for developing and implementing unit tests for firmware modules and system integration testing. Staying up-to-date with the latest trends and advancements in embedded systems and machine learning for edge computing will be crucial. Key Responsibilities: - Design, develop, test, and debug firmware for embedded systems using languages like Embedded C/C++ and Python. - Collaborate with hardware engineers to ensure compatibility between firmware and electronic components. - Optimize firmware for performance, memory usage, and power consumption, especially when running machine-learning models. - Understand and integrate machine learning models for edge deployment, considering the resource constraints of the device. - Develop and implement unit tests for firmware modules and system integration testing. - Document firmware design, development process, and test procedures. - Stay up-to-date with the latest trends and advancements in embedded systems and machine learning for edge computing. Qualifications: - Bachelor's degree or Master's Degree in Electrical Engineering, Electronics and Communication Engineering or related. - Minimum 2 years of experience in electronics firmware development. - Strong understanding of embedded systems architecture, including microcontrollers and peripherals. - Proficiency in Embedded C/C++ and Python. - Experience with development tools for embedded systems (IDEs, debuggers, etc.). - Working knowledge of machine learning concepts and frameworks (bonus points for experience with TensorFlow Lite or similar). - Excellent problem-solving and analytical skills. - Strong written and verbal communication skills. - Ability to work independently and as part of a cross-functional team.,