
Organizing the world's information and making it universally accessible.
Staff Design Engineer, Networking, Google Cloud
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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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
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