Minimum qualifications:

+ Bachelor's degree or equivalent practical experience.

+ 8 years of experience in software development, and with data structures/algorithms.

+ 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), Machine Learning (ML) infrastructure, or specialization in another ML field.

+ 5 years of experience leading ML design and optimizing 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.

+ 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 data management - data quality and data governance, Data architecture and Data modeling.

+ Experience using data to identify opportunities, mitigate risks, and take on the highest quality and reliability for GPUs.

+ Experience in delivering reliability of large scale infrastructure using data driven insights and Machine learning.

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.

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 $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 (https://careers.google.com/benefits/) .

+ Own and build the technical road map of Google Compute Engine (GCE) fleet observability and reliability based on analysis.

+ Act as a subject matter expert in AI/ML, driving innovation in GCE observability to meet the demands of customer base.

+ Partner with internal customers, Site Reliability Engineers, product managers, and project managers to align priorities and manage staffing needs.

+ Define business metrics and Service Level Objectives, and implement processes and tools to maintain them. Establish and promote data best practices throughout GCE.

+ Coach, mentor, and support team members at all levels in their career development.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.