Engineering Manager, Woodshed

Google

San Jose, CA

JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Big Data, Budget Management, C++ Programming Language, Cloud Computing, Cloud Storage, Computer Science, Computer Skills, Computer Systems, Content Delivery Network (CDN), Data Analysis, Data Compression, Distributed Computing, Engineering Management, Equal Employment Opportunity (EEO), Information Retrieval, Large-Scale Systems, Leadership, Machine Learning, Natural Language Processing (NLP), Network Security Design, Product Strategy, Project/Program Management, Software Development, Software Engineering, Team Lead/Manager, Technical Leadership, Training Data Sets, User Interface Design, Virtual Hosting, YouTube
LOCATION
San Jose, CA
POSTED
30+ days ago

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering or a related technical field, or equivalent practical experience.
  • 8 years of experience with C++, large-scale distributed systems, and technical infrastructure.
  • Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, and data analytics or artificial intelligence solutions applied to industry problems.

Preferred qualifications:

  • 10 years of experience with distributed compute environments, software development, big data analytics, cloud computing including virtualization, hosted services, multi tenant cloud infrastructures, storage systems or content delivery networks.

About the job

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As part of Woodshed in Core Artificial Intelligence Foundations, you will work on a distributed system that is critical for machine learning infrastructure. Woodshed has been supporting most of the artificial intelligence (AI) and machine learning (ML) workloads for Ads, Search, and YouTube for years. It is being expanded to support Gemini, GenMedia, Waymo, Workspace, Google Pay, and other Product Areas. The team is expanding to support machine learning storage. With your infrastructure experience, you will build the next generation of AI and ML systems for Google.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
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

  • Manage a team of engineers focusing on Woodshed's multi-modal strategy.
  • Oversee Canon, a machine learning dataset lakehouse now backed by Woodshed.
  • Partner with GenMedia to power training for multimodal models.
  • Lead plans for the team alongside Woodshed's technical leadership, and collaborates with partner teams in DANI, core artificial intelligence foundations, and customers.
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