Mobile Device Software Engineer, Machine Learning Runtime, Silicon

About the position

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. As a Software Engineer, you will work on the mobile software stack for the Tensor SoC, with a focus on deployment of on-device Machine Learning (ML) framework for a range of user experiences including Camera, Speech, Generative AI, and more. You will be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Develop on device Runtime software stack to deploy Machine Learning (ML) models on mobile devices.
• Track and drive performance and power optimizations to enable on device models.
• Support customers with deploying their Machine Learning (ML) models to the Tensor TPU.
• Work with application software teams to prototype and enable new use cases on Tensor SoCs.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on software, hardware, and quality.

Requirements

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C++), or 1 year of experience with an advanced degree.
• 2 years of experience working with embedded operating systems.
• 1 year of experience with software frameworks for mobile Machine Learning (ML) or graphics (e.g., TFLite, Core ML, PyTorch/ExecuTorch, Vulkan, OpenCL, CUDA, etc.).

Nice-to-haves

• Master's degree or PhD in Computer Science or related technical fields.
• Experience with on-device machine learning, and knowledge of NLP, image, and on-device Generative AI.
• Experience working with hardware or machine learning accelerators.
• Experience developing accessible technologies.

Benefits

• The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.