
Organizing the world's information and making it universally accessible.
Software Engineer, GPU System Software
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Design, develop and maintain the system software stack for GPU system software.
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Help identify dependencies in cross-functional teams and drive NPI execution with a peculiar focus on development velocity and quality.
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Drive system software integration to enable next generation GPU accelerators for Google data center.
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Manage data center GPUs software/kernel driver/firmware development, integration and validation.
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Develop test suites that enable unit, integration and system level testing of our system software.
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.
The GPU System Software team is responsible for building GPU compute solutions that power various Google services like Google Cloud, YouTube, Deep Mind, etc. We also maintain the systems deployed in the data centers with reliability monitoring services, kernel rollouts, firmware and driver upgrades.
As a Software Engineering Manager for the Graphics Processing Unit (GPU) Platforms Software team, you will lead the team and work with many cross-functional teams (e.g., hardware, system, data center deployment) to provide the foundational AI infrastructure that enables the AI applications for Google and Cloud customers.
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Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience.
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2 years of experience in software, firmware and driver development in languages such as C/C++.
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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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