Staff Software Engineer, On-Device Machine Learning

Google

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Android, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Business Growth, CPU (Central Processing Unit), Cloud Computing, Computer Science, Cross-Functional, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Equal Employment Opportunity (EEO), GPU (Graphics Processing Unit), Hardware Design, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Matrix Management, Mentoring, Mobile Applications Development, Modeling Languages, Natural Language Processing (NLP), Network Design, Organizational Skills, Performance Analysis, Performance Tuning/Optimization, Problem Solving Skills, Product/Service Launch, Programming Tools, Reinforcement Learning, Software Architecture, Software Architecture Design, Software Development, Software Engineering, Team Lead/Manager, Technical Leadership, Testing, User Interface Design, Workflow Analysis, iOS
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

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 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.
  • Experience with mobile app development experience and familiarity with iOS/Android build/testing systems.

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.
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.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V