
Organizing the world's information and making it universally accessible.
Software Tech Lead, GPU, AI Infrastructure
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Lead and guide a team with a different technical portfolio that interacts with a large set of Google Services and Cloud teams, and cross-functional stakeholders.
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Set and communicate team priorities that support the broader organization's goals and develop the mid-term technical outlook and roadmap. Align strategy, processes, and decision-making across teams.
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Develop, integrate, test, deploy and debug the system software for GPU and other accelerator systems.
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Interact and integrate with a variety of software components including: board and chip firmware, linux kernel drivers, high speed interconnect bus firmware, hardware design, Google data center server management and monitoring stack, etc.
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Collaborate with hardware, manufacturing, data center operations team, cloud engineering, and other external partners to plan and execute the programs end-to-end, including product development, vendor engagement, manufacturing, and productivity improvements.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.
We develop system software that enables GPU-based AI/ML supercomputers in Google’s data centers, and thus empowering AI/ML innovations both for Google and Cloud customers.
We design and develop the systems software and networking technologies for accelerator products containing Graphics Processing Units (GPU), Video Transcoders, and various combinations of those accelerators. Our execution covers the areas of system software integration, manufacturing testing, machine bring-up, data center deployment, resource management, security, virtualization and finally platform telemetry, monitoring and control.
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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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5 years of experience testing, and launching software products.
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5 years of experience working with embedded operating systems.
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3 years of experience with software design and architecture.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
最新动态
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