Emulation Operations Engineer

Role Overview

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 channel 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.

Responsibilities

• Design, implement, maintain and automate the IT infrastructure for the emulation lab, including servers, storage, networking equipment, and workstations.
• Explore and implement novel emulation workflows and methodologies including data transfer, schedulers and automated end-to-end regression flows.
• Participate in on-call rotation and monitor production distributed computing infrastructure, troubleshooting advanced technical issues within a Linux environment.
• Manage relationships with vendors for hardware, software, and support agreements.
• Automate systems management with code.

Requirements & Qualifications

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 3 years of experience with emulation CAD operations.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 6 years of experience with emulation CAD operations.
• Experience in IT infrastructure management and Cloud systems design (including VMs), preferably in an emulation lab or high-performance computing environment.
• Experience writing code (e.g., Python, Bash) to automate monitoring and data analysis.
• Proficiency with batch job schedulers such as Slurm, LSF, or PBS.
• Knowledge of Emulation/Field-Programmable Gate Array (FPGA) compilation and runtime flows.

Application Instructions

Apply directly on Google Careers at Emulation Operations Engineer↗.

Direct application sign-in: Submit Application↗

Note: In most instances, this position requires in-person interviews as part of the hiring process.