
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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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
연봉 정보
57,503개 데이터
Mid/L4
Mid/L4 · Accessibility Analyst
1개 리포트
$214,500
총 연봉
기본급
$165,000
주식
-
보너스
-
$214,500
$214,500
면접 후기
후기 9개
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%