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. In this role, you will provide leadership for the technical direction of On-Device Machine Learning (ODML) and generative AI (GenAI) at Google. This role demands an individual who can grow in ambiguity, taking complex, open-ended problems such as the scaled deployment of Large Language Models (LLMs) on mobile hardware and making them tractable for the organization. You will lead efforts across multiple teams and stakeholders to define well-lit paths for the next generation of on-device ML innovation. You will have an understanding of GenAI workflows and work up and down the stack with engineers from on-device machine learning and hardware teams to define and build new developer tools that serve new LLM needs.
Responsibilities
Create roadmaps for developer-facing APIs, SDKs, and tools, ensuring they meet the evolving needs of LLM workflows.
Solve technically challenging problems that exceed the scope of a generalist software engineer, specifically around optimizing GenAI performance across heterogeneous hardware (CPUs, GPUs, and EdgeTPUs).
Guide the team in designing resilient systems, anticipating scaling bottlenecks or shifts in usage as LLMs become increasingly complex.
Coordinate efforts across multiple groups, including Android ML, ML Compiler, and DeepMind, to co-design performance and evaluation workflows.
Provide technical mentorship and implement new practices that address team needs and increase the velocity of your teammates.
Qualifications
Minimum
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience in GenAI end-to-end workflows.