Staff Software Engineer, On-Device Machine Learning Infrastructure

Staff Software Engineer, On-Device Machine Learning Infrastructure Location: Sunnyvale, CA, USA

Experience Level: Advanced In most instances, this position requires in-person interviews as part of the hiring process.

Minimum Qualifications:

• 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 Qualifications:

• 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 working in a complex organization involving cross-functional or cross-business projects.
• Track record of leading and delivering ML projects focused on on-device deployment (e.g., Android, iOS, web browsers, or embedded devices).
• Knowledge of ML converters/compilers and runtimes, and hardware-accelerated ML inference techniques.
• Understanding of Generative AI model architectures and their optimization for on-device execution.

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.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will deliver on-device ML infrastructure with leading performance, enabling framework and device optionality at scale. You will enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (e.g., GPU / Pixel TPU / NPUs / CPU) on Android, Chrome, and more.

The Google

Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail, and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Create roadmaps for developer-facing Application Programming Interfaces (APIs), Software Development Kits (SDKs), and tools, ensuring they meet the evolving needs of Large Language Models (LLMs) workflows.
• Solve technically challenging problems that exceed the scope of a generalist Software Engineer, specifically around optimizing Generative AI performance across heterogeneous hardware (CPUs, GPUs, and EdgeTPUs).
• Guide the team in designing resilient and robust systems, proactively 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. based on an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.