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TPU PCIe RTL Design Engineer

Google

TPU PCIe RTL Design Engineer

Google

·

On-site

·

Full-time

·

2w ago

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.

Join the team designing and developing the core components of Google's next-generation Tensor Processing Units (TPUs), the custom-built accelerators powering our AI and machine learning workloads in data centers.

As a PCIe Design Engineer, you will architect and implement SoC-level RTL for our next-generation data center accelerators. Beyond designing high-performance PCIe subsystems, you will build the foundational SoC infrastructure—including clocking, reset, error handling, and chip management—that powers our silicon. Your highly cross-functional role offers a "big picture" view of the product lifecycle from concept to production, requiring close collaboration with software and hardware teams to deliver accelerators.

This position offers the opportunity to work on challenging technical problems at the forefront of AI hardware, working in a dynamic and collaborative environment.

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.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead the PCIe microarchitecture and RTL development, ensuring high-performance designs that strictly adhere to PPA targets, coding standards, and quality guidelines.

  • Manage the full RTL lifecycle, including documentation and coding, while ensuring the design is sign-off ready for Lint, CDC, and synthesis.

  • Partner with system architects to integrate the PCIe subsystem, ensuring it meets chip-level bandwidth, latency, and power consumption goals.

  • Coordinate with Verification and Physical Design teams to develop test plans, leverage PCIe VIP, and achieve successful timing closure.

  • Resolve complex protocol issues and lead post-silicon bring-up to ensure link integrity and subsystem performance.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 5 years of experience in ASIC design, including one project focused on PCIe logic.

  • Experience debugging RTL using Verdi/VCS and automating tasks via Python or Perl.

  • Experience in System Verilog/Verilog for RTL development and microarchitecture definition.

  • Experience with PCIe protocol layers (e.g., Transaction, Data Link, and Physical) or LTSSM.

  • Experience with Clock Domain Crossing (CDC), timing closure, or synthesis flows.

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • 8 years of ASIC design experience, including 3 years in PCIe (Gen4/5/6) controller or protocol logic.

  • Experience with advanced RTL design, including multi-clock domains, timing closure, datapath optimization, and hardware/firmware partitioning.

  • Experience with cross-functional leadership, driving efforts with software/system teams from RTL development through silicon bring-up.

  • Experience in PCIe architecture, including Link Training and Status State Machine (LTSSM), TLP/FLIT pipelines, flow control, ordering rules, and performance tuning.

  • Knowledge of ASIC flow, Ser Des, and scripting.

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关于Google

Google

Google

Public

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

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

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