Software Engineer, Embedded Systems
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Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- Experience designing and architecting embedded systems including microcontrollers, Real-Time Operating System (RTOS), memories, interfaces (e.g., I2C, SPI, UART, MIPI, CSI2, I3C, and BLE), and sensors (imaging and non-imaging).
- Experience in firmware and driver developments for embedded systems.
Preferred qualifications:
- Experience in developing machine learning-based image and voice embedded system applications using C, C++, Python.
- Experience in low-power AI processor, sensor solutions, and overall system architecture.
- Experience in embedded machine learning model development.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities
- Architect and develop embedded systems for intelligent edge sensing applications.
- Develop firmware and drivers for embedded systems.
- Collaborate with ML engineers to implement real-time ML sensing applications.
- Optimize embedded ML model performance in terms of power, latency, and memory usage.
- Create prototypes to demonstrate new edge sensing features.
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