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Google
Google

Organizing the world's information and making it universally accessible.

SoC Input Output Architect, Silicon, Google Cloud

RoleEngineering
LevelMid Level
WorkOn-site
TypeFull-time
Posted3 weeks ago
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  • Evaluate different silicon solutions for executing MIPI and other IO peripheries: off-the-shelf components, vendor co-developments and custom designs.

  • Drive vendor execution in various engagements: standard component, build to specification, and co-developments.

  • Collaborate closely with software, design, verification, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.

  • Create high performance hardware/software interfaces.

  • Collaborate in developing a new SoC.

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.

Google’s Silicon team is driving the future of cloud data center computing.

As a System on Chip Input Output (SoC IO) Architect, you will help define a new generation of Google’s products. You will have pivotal responsibilities and serve as the organization Mobile Industry Processor Interface (MIPI) focal point.

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 team behind Google's groundbreaking innovations, empowering the development of our 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.

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.

  • 15 years of experience working with mobile industry processor interface (C-PHY and D-PHY) architecture.

  • 6 years of experience in people management and developing employees.

  • Experience with system design principles for low latency, low power, throughput, security, and reliability.

  • Cross-functional experience in micro-architecture, design, verification, logic synthesis, and timing closure.

  • Experience with signal integrity and power integrity.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

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