Software Engineer, AI Experience, Silicon

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with C++.
• Experience working with hardware, and Machine Learning accelerators.

Preferred qualifications:

• Master's degree or PhD in Computer Science, with a focus on Machine Learning systems, computer architecture, or performance analysis.
• 2 years of experience with data structures or algorithms.
• Experience shipping on-device Machine Learning features in areas like Camera, Audio, Speech, or Generative AI, combined with expertise in developing and optimizing high-performance software for the Android platform.
• Experience with machine learning accelerators (e.g., NPUs/TPUs), system-level performance analysis, and hardware/software co-design.
• Experience in performance profiling and debugging using tools like Perfetto or Systrace.
• Ability to influence and collaborate with cross-functional hardware, software, and research teams.

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

• Partner with customers and internal teams to integrate and prototype on-device AI, including LLMs (Gemini Nano), generative AI, and advanced camera/audio features on our custom Tensor SoCs.
• Support the analysis, measurement, and optimization of power and performance for real-world AI use cases, ensuring a user experience on millions of devices.
• Search into the software stack to write system-level code, triage issues, and debug across hardware and software to ensure product quality and stability.
• Lead and participate in critical software/hardware co-design reviews, influencing technical decisions and shaping the future of our on-device AI platform.
• Advocate engineering excellence by reviewing code and mentoring peers to foster a collaborative culture. You will also pioneer the use of agentic-AI to accelerate development and boost team productivity.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .