채용

Staff Design Engineer, Networking, Google Cloud
placeTel Aviv, Israel; Haifa, Israel
·
On-site
·
Full-time
·
2mo ago
복지 및 혜택
•Parental Leave
•Healthcare
필수 스킬
Machine Learning
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.
You will also be responsible for performance analysis for a networking stack.
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.
Responsibilities
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Lead an ASIC subsystem.
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Understand how ASIC subsystem interacts with software and other ASIC subsystems to implement data center networks.
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Define hardware/software interfaces. Write micro architecture and design specifications.
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Define efficient micro-architecture and block partitioning/interfaces and flows.
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Collaborate with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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10 years of experience architecting networking ASICs from specification to production.
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Experience developing Register-Transfer Level (RTL) for ASIC subsystems.
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Experience with cross-functional engagement in micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications
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Experience working with software teams optimizing the hardware/software interface.
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Experience working with design networking like: Remote Direct Memory Access (RDMA) or packet processing and system design principles for low latency, high throughput, security, and reliability.
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Experience in Transmission Control Protocol (TCP), IP, Ethernet, Peripheral Component Interconnect Express (PCIE) and Dynamic Random Access Memory (DRAM) including Network on Chip (NoC) principles and protocols (AXI, ACE, and CHI).
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Experience architecting networking switches, end points, and hardware offloads.
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Understanding of packet classification, processing, queuing, scheduling, switching, routing, traffic conditioning, and telemetry.
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Proficiency in procedural programming language (e.g., C++, Python, Go).
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모의 지원자 수
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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
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
57,502개 데이터
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
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
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