Senior Hardware Emulation Engineer, Google Cloud
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Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- Experience with associated Electronic Design Automation (EDA) tools, with automation and flow enhancements.
- Experience using command debug tools (e.g., Verdi, SimVision/Indago, GDB) and programming in C, C++, Perl, TCL, or Python.
- Experience with emulation systems, maintenance, upgrades, and methodology enhancements.
Preferred qualifications:
- Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience deploying Electronic Design Automation (EDA) tools into distributed environments.
- Experience with system administration, networking, and security systems.
- Experience with Register-Transfer Level (RTL) design, Verilog, simulation, System Verilog, and assertions.
About the job
In this role, you will help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-specific integrated circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, 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.
Responsibilities
- Help in maintaining and upgrading 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 Electronic Design Automation (EDA) tools, licensing, and job management in Google infrastructure.
- Support emulation team members with debugging hardware, tooling, and project specific issues.
- Help to 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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