
Organizing the world's information and making it universally accessible.
Technical Lead Manager, AI/ML Networking
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Set and communicate team priorities that support the broader organization's goals.
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Manage and lead the team that is developing the next generation Artificial Intelligence (AI) and Machine Learning (ML) Networking solutions as well as Smart Network Interface Cards (NICs) at Google, taking the projects through development into production.
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Enable the team to advance new approaches to leverage offloads efficiently with Google hardware and software.
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Guide the team to build and test software in C++ for use on Google's Machine Learning (ML) Library solutions and Smart Network Interface Cards (NICs).
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Align strategy, processes, and decision-making across teams.
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Bachelor’s degree, or equivalent practical experience.
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8 years of experience in software development.
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3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
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3 years of experience in a technical leadership role.
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2 years of experience in a people management or team leadership role.
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Experience developing software applications using the C++ programming language.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
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57,503 data points
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$176,704
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Stock
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Bonus
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$150,298
$203,110
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
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