Emulation Operations Engineer

Sunnyvale, CAOnsiteFull Time$138,000–$197,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

Emulation Operations Engineer
Emulation CAD operations
IT infrastructure management
Cloud systems design
Python
Bash
automation
monitoring
data analysis
batch job schedulers

Nice to have

computer architecture
high-performance computing environment

Role summary

We are seeking an Emulation Operations Engineer to join a team developing custom silicon solutions for Google's direct-to-consumer products. You will be responsible for maintaining and improving existing emulation lab systems and developing next-generation solutions. This role involves managing IT infrastructure, implementing cloud-to-lab data transfer, continuous integration flows, schedulers, and dashboards, while driving efficiencies through automation and AI tooling. The position requires a Bachelor's degree in a related field or equivalent experience, with a minimum of 3 years in emulation CAD operations.

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.
Basic knowledge of Emulation/FPGA compilation and runtime flows.

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.

As an Emulation Operations Engineer, you will help maintain and improve existing systems, while helping develop next-generation solutions for future projects.

You will play a key role in ensuring the smooth operation and optimal performance of our emulation lab, which involves managing and maintaining the lab's IT infrastructure, but also implementing optimal “cloud to lab” data transfer mechanisms, continuous integration flows, schedulers and dashboards.

You will help drive efficiencies and resilience by adopting novel techniques, in part driven by AI tooling.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 behind Google's groundbreaking innovations, empowering the development of 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 contracts.
Automate systems management with code.

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