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About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Borglet team runs as groups of 3-5 people executing on various projects in all major areas of infrastructure. The team is growing with some growth expected in the near future. The team is focused on key large initiatives in AI2 like ML/AI Infrastructure (GPU/TPUs in server platform), Security, Capacity Fungibility, Warp Space (TI VMs). This presents a great opportunity for clear impact and growth.
In this role, you will be a passionate engineer manager to help in the area of Runtime, Virtualization, Node Evolution and solve critical problems in this space.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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
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Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
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Develop the mid-term technical goal and roadmap within the scope of your (often multiple) teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
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Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
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Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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Provide technical leadership for designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware.
Minimum qualifications
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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 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 with object-oriented programming, templates, and the Standard Template Library (STL).
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Experience developing software applications using the C++ programming language.
Preferred qualifications
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Master's degree or PhD in Computer Science or related technical field.
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3 years of experience working in a complex, matrixed organization.
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Experience with system software, virtualization, distributed systems, and complex multi-component software systems.
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Experience in developing and releasing system software products and C/C++ programming skills.
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Understanding of key concepts of performance analysis and tuning with basic data analysis and SQL skills with familiarity with the Linux kernel interface and containers.
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Passion for reliability, efficiency, and scale.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
ニュース&話題
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4d ago
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·
4d ago