Hardware Emulation Engineer

Overview

Google Sunnyvale, CA, USA

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• Bachelor's degree in Electrical Engineering or a related field.
• 6 years of industry experience with RTL design (Verilog or System Verilog) and simulation (VCS, Incisive or Questa).
• Experience with coding or scripting in C, C++, Perl, TCL or Python.
• Experience with emulation systems (ZeBu, Palladium, Veloce), compilation, debugging, performance and methodology enhancements.

• Master's degree in Electrical Engineering or a related field.
• 10 years of industry experience with RTL design (Verilog or System Verilog) and simulation (VCS, Incisive or Questa).
• Experience with performance analysis/debug techniques.
• Experience with simulation acceleration using transactors (DPI-C) or vendors provided accelerated verification IP.
• Knowledge of external I/O interfaces like PCIe, DDR5, HBM, SPI, or JTAG etc.
• Understanding of computer architecture including industry standard interfaces and memory subsystems.

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.

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.

In this role, you will help develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our ASIC 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.

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 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 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 $156,000-$229,000 + 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.