Engineering Manager, Nexus ML, Google Global Fleet

Engineering Manager, Nexus ML, Google Global Fleet

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corporate_fareGoogleplaceSeattle, WA, USA

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

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XIn most instances, this position requires in-person interviews as part of the hiring process.

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: 401(k) 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• 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 in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience managing a technical team.
• Experience with software development using a general-purpose programming language.
• Experience architecting and developing distributed systems.

Preferred qualifications:

• Experience with large-scale infrastructure and distributed systems.
• Experience with data pipelines, analytics, or billing systems.

About the job

Google owns and operates data centers all over the world, helping to keep the internet humming 24/7. Keeping our data centers running and further growing our data center fleet requires software that operates at Google scale.

We are a Seattle/Kirkland based engineering team with a broad portfolio of products and technologies. We take pride in our unique highly collaborative style of development and are responsible for Demand Visibility and highly optimized supply chain execution across Alphabet.

As a part of efficient and optimal supply chain operations we are building a demand tracking platform that enables our customer to always stay on top of their order health and provides execution teams a standard conduit to expose risks and exceptions. Up until recently, much of that was a manual process, but our business is growing geometrically and humans with spreadsheets dont scale. Our team is dedicated to bringing intelligence to both the tactical and strategic needs for visibility, specifically for machine and network components. We operate like a small business, and our customers are everyone from the product area planners to the folks on the ground in Supply Chain Operations working to deliver machines, transport assets, forecast or just counting capitalized dollars of things landed.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

Were the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Manage and grow a team of software engineers, fostering a culture and guiding their career development.
• Lead the design, development, and architecture of large-scale distributed systems and data pipelines.
• Drive the technical strategy and roadmap for Nexus machine learning (ML) capacity engineering initiatives.
• Collaborate with cross-functional stakeholders to integrate multi-component systems and ensure their successful adoption.
• Guide software development best practices using general-purpose programming languages to deliver scalable, high-quality infrastructure solutions.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.