CPU Hardware Emulation Engineer
Job Summary
Job Description
This role involves maintaining and upgrading Google's CPU emulation infrastructure, acting as the primary interface with emulation vendors. Responsibilities include exploring emulation methodologies, implementing workflows, creating automation tools for EDA tools and job management, supporting team members in debugging, and bringing up external interfaces on emulation platforms. The ideal candidate will have experience with emulation systems, EDA tools (Palladium or Zebu), scripting (Perl, TCL, or Python), and ideally RTL design, Verilog, and SystemVerilog. The position contributes to developing custom silicon solutions for Google's direct-to-consumer products, impacting millions of users globally.
Must have:
- Emulation system experience (Palladium/Zebu)
- Scripting (Perl/TCL/Python)
- EDA tool expertise
- Debugging hardware/tooling issues
- Bachelor's degree in EE or equivalent
Good to have:
- Master's degree in EE
- Experience deploying EDA tools in distributed environments
- System administration, networking, and security experience
- RTL design, Verilog, SystemVerilog knowledge
- Experience with external interfaces (USB, PCIe, Ethernet)
5 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Electrical Engineering or equivalent practical experience.
- Experience with emulation systems, including maintenance, upgrades, methodology enhancements and associated EDA tools (Palladium or Zebu).
- Experience with scripting in Perl or TCL or Python.
Preferred qualifications:
- Master's degree in Electrical Engineering.
- Experience deploying EDA tools into distributed environments and supporting their efficient usage.
- Experience with system administration, networking, and security systems.
- Experience with RTL design, Verilog, simulation (e.g., VCS, Incisive, Questa), System Verilog (e.g., DPI and transactors), and assertions.
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 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
- 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 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 debug of 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.
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