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About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
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Build, manage and lead the team responsible for firmware and infrastructure development to enable bring-up and validation of the AI/ML SoC designs.
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Lead and enable the team to develop embedded firmware, bare metal tests and low-level debug tools for pre and post-silicon validation of So Cs. Exercise these capabilities on emulation, simulation and silicon platforms.
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Co-work with architecture, design and verification teams and enable Hardware-Software co-design. Engage with the silicon design team at a very early stage and drive integration validation and firmware features enablement as the silicon development progresses.
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Work with post-silicon and platform hardware teams to ensure silicon enablement and support silicon debugs.
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Drive all the people management functions including, but not limited to, hiring, people development, prioritizing and managing resources to achieve project execution timelines.
Minimum qualifications
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8 years of experience leading an embedded or firmware development team.
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Experience with embedded software or firmware development in C/C++.
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Experience with bringing up bare-metal environments on So Cs.
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Experience in leading firmware debugs on silicon and usage of debug tools such as TRACE32, OpenOCD, etc.
Preferred qualifications
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Experience with ARM and RISC-V architectures.
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Experience in using emulation platforms for firmware enablement, validation, and debug.
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Experience in industry standard software development practices and agile methodologies.
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Understanding of SoC architecture and interfaces (e.g., AXI, DDR, PCIe, etc.).
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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
4.5
10개 리뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
친구에게 추천
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 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
뉴스 & 버즈
Our eighth generation TPUs: two chips for the agentic era - blog.google
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·
1d ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1d ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1d ago