Google

Silicon Infrastructure Engineer, Emulation, Google Cloud

Posted On

May 13, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

May 29, 2025

Job Description

Help maintain and upgrade our emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team and implement new emulation workflows and methodologies.
Create tooling and automation to support emulation EDA tools, licensing, and job management in Google infrastructure.
Support emulation team members in debugging hardware, tooling, and project specific issues.
Help bring up external interfaces (e.g., USB, PCIe, Ethernet etc) on the emulation platforms and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

Minimum qualifications:

Bachelor's degree in Electrical Engineering or equivalent practical experience.
Experience with emulation systems, including maintenance, upgrades, and methodology enhancements.
Experience with associated EDA tools and the addition of automation and flow enhancements.
Experience with programming/scripting (e.g., C, C++, Perl, TCL, Python), and a command of debug tools (e.g., Verdi, SimVision / Indago, gdb) to support methodology and automation work.

Preferred qualifications:

Master's degree in Electrical Engineering or related field and 5 years of industry experience.
Experience deploying EDA tools into distributed environments and supporting their efficient usage.
Experience with RTL design, Verilog and simulation (VCS, Incisive, Questa), and System Verilog (DPI and transactors), assertions.
Familiarity with system administration, networking, and security systems.

Bachelor's degree in Electrical Engineering or equivalent practical experience.
Experience with emulation systems, including maintenance, upgrades, and methodology enhancements.
Experience with associated EDA tools and the addition of automation and flow enhancements.
Experience with programming/scripting (e.g., C, C++, Perl, TCL, Python), and a command of debug tools (e.g., Verdi, SimVision / Indago, gdb) to support methodology and automation work.

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.

In this role, you will help develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our ASIC projects. Creating ASICs represents a significant investment in time and money. Having a successful prototyping campaign helps to ensure success of these critical projects. However, as designs continue to increase in size and complexity, emulation becomes even more important in meeting verification and bring-up milestones. Providing excellent emulation infrastructure and methodologies is essential to supporting these projects.

You will work directly with other emulation team members as well as designers, verification engineers, and software teams. You will interface with our external vendors, lab support teams, networking and security, and EDA tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You may also assist in compiling projects targeting our prototyping platforms, debugging issues in both infrastructure and design, and assisting in the hardware and lab bring up and verification of our ASIC systems.

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.

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