Tech Lead, Google Kubernetes Engine AI Platform

Google LLC

Seattle, WA

JOB DETAILS
SALARY
$207,000–$300,000 Per Year
SKILLS
Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Natural Language, Blog, Business Growth, Cloud Computing, Computer Science, Computer Skills, Consulting, Cookies, Customer Service Management, Customer Support/Service, Data Analysis, Data Storage, Debugging Skills, Disability Insurance, Distributed Computing, English Language, Equal Employment Opportunity (EEO), GCP (Good Clinical Practices), GPU (Graphics Processing Unit), General Handyperson, Genetics, Government, Greek Language, Hebrew Language, Information Retrieval, Information/Data Security (InfoSec), International Business, International Sales, Large-Scale Systems, Leadership, Leading Edge Technology, Life Insurance, Machine Learning, Mechanical Engineering, Natural Language Processing (NLP), Network Administration/Management, Network Design, Open Source, Operating Systems, Problem Solving Skills, Process Improvement, Product Management, Product Support, Project/Program Management, Public Affairs, Public Policy, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Risk, Sales, Sales Management, Software Development, Software Engineering, Solution Sales, Supply Chain, Technical Leadership, User Interface Design, User Interface/Experience (UI/UX), Vendor/Supplier Planning, YouTube
LOCATION
Seattle, WA
POSTED
30+ days ago

Tech Lead Google Kubernetes Engine AI Platform - Google Careers

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Tech Lead Google Kubernetes Engine AI Platform

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders, deep expertise in domain.

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In accordance with Washington state law we are highlighting our comprehensive benefits package which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401k with company match
  • Paid Time Off: 20 days of vacation per year accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year statutory where applicable, 5 days/event discretionary
  • Maternity Leave, Short-Term Disability, Baby Bonding: 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications

  • Bachelors degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in cloud computing and building operating systems.

Preferred qualifications

  • Masters degree or PhD in Computer Science, Machine Learning or a related field.
  • 5 years of experience with distributed systems, data analytics and applied ML.
  • Experience with AI infrastructure (GPU/TPU, Networking, etc.) management and orchestration.
  • Experience with machine learning infrastructure, large-scale distributed systems and Cloud.
  • Excellent problem-solving, code and model tuning skills.

About the job Google Clouds software engineers develop the next-generation technologies that change how billions of users connect, explore and interact with information and one another. Were 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 Clouds needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Google Kubernetes Engine (GKE) AI Platform team is responsible for managing containerized workloads and services on the cutting-edge AI infrastructure (GPUs/TPUs) using Kubernetes (K8s)-an open-source platform. As GKE experiences exponential growth in the AI, ML and GenAI sectors, our team ensures that this infrastructure is automated, frictionless and capable of handling the next generation of cloud computing.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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

  • Act as an AI Platform TL driving innovation on GKE AI/ML infra, reliability, efficiency and scale.
  • Engage with Megawhale customers to ensure their success/growth on GKE Google Cloud Platform (GCP).
  • Identify gaps and drive improvement across entire GKE/Google Compute Engine (GCE) stack.
  • Help shape the culture of the team to be a high executing team that is fun to work with.
  • Lead the technical goal for GKE AI/ML workload efficiency and optimization, setting the direction.

Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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. See also Googles EEO Policy. Know your rights: workplace discrimination is illegal. Belonging at Google and How we hire.

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.

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