DIRECTOR, ENGINEERING, AI COMPUTE INFRASTRUCTURE
Company: Google
Location: Sunnyvale
Posted on: October 17, 2024
|
|
Job Description:
Minimum qualifications:Bachelor's degree in Computer Science,
Electrical Engineering, or equivalent practical experience.15 years
of experience in software, hardware, or ML engineering, or in
building distributed systems.10 years of experience in team
management/leadership, and managing geographically distributed
teams.Experience in applied AI and building AI embedded systems and
services.Experience in a general manager role, leading engineering
and product teams.Preferred qualifications:Master's degree or PhD
in Computer Science, Electrical Engineering, or relevant
field.Experience in building large-scale AI infrastructure
supporting large-scale workloads.Experience working with Field
Go-To-Market and Partner teams.Familiarity with AI developer
frameworks and tools. About the job Artificial Intelligence (AI) is
revolutionizing enterprises, and Google Cloud Platform (GCP) is at
the forefront. To maintain this momentum, GCP needs a specialized
team to cater to the unique demands of top AI Hyperscalers.This
team of AI experts collaborates closely with industry leaders,
optimizing their machine learning workloads on GCP. They provide a
premium experience, fine-tuning models for peak performance and
efficiency. Beyond optimization, the team develops cutting-edge AI
solutions and tools tailored to these large-scale customers.The AI
Ninja team also plays a crucial role in disseminating knowledge
gained from these collaborations. They transform their expertise
into accessible resources like solutions, code samples and best
practices, empowering the broader AI community. This collaborative
approach fuels GCP's AI Infrastructure growth and adoption.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
$278,000-$399,000 + 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 for new
hire 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.
Responsibilities Acquire, retain, and grow AI Hyperscalers and
large customers on Google Compute Engine's (GCE's) accelerator
products.Deliver customized and optimized AI models, solutions,
code repos, and AI best practices to customers.Build and grow a
senior AI Engineering team that is geographically distributed in
North America, Europe, and Asia, to execute a multi-year
strategy.Collaborate closely with cross-functional teams inside and
outside of Google and influence their product roadmaps to ensure
the timely delivery of new product initiatives to customers.
Keywords: Google, San Jose , DIRECTOR, ENGINEERING, AI COMPUTE INFRASTRUCTURE, Executive , Sunnyvale, California
Click
here to apply!
|