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Benefits & Perks
•Creative environment
•Health benefits
•Remote options
•Competitive salary and equity
•Healthcare
Required Skills
InVision
Framer
Adobe Creative Suite
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.
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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Lead a complex ASIC subsystem and understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
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Define high-performance 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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Implement designs in System Verilog.
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Collaborate closely 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, a related field, or equivalent practical experience.
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4 years of experience architecting networking ASICs from specification to production.
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Experience developing RTL for ASIC subsystems.
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Experience in micro-architecture, design, verification, logic synthesis, and timing closure.
Preferred qualifications
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Experience architecting networking switches, end points, and hardware offloads.
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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 working with software teams optimizing the hardware/software interface.
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Proficiency in TCP, IP, Ethernet, PCIe, DRAM, Network on Chip (NoC) principles and protocols.
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Proficiency in a procedural programming language (e.g., C++, Python, Go).
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Understanding of packet classification, processing, queueing, scheduling, switching, routing, traffic conditioning, and telemetry.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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