Jobs
Benefits & Perks
•Parental leave
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•401(k) matching
•Parental Leave
•Flexible Hours
•Learning
Required Skills
Python
JavaScript
TypeScript
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.
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 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, supporting the hardware and lab bring up, and verifying 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 force 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
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Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
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Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
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Create tooling and automation to support emulation EDA tools, licensing, and job management in Google infrastructure.
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Support emulation team members with debugging hardware, tooling, and project-specific issues.
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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.
Minimum qualifications
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Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
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Experience with associated EDA tools, automation, and flow enhancements.
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Experience using command debug tools (e.g., Verdi, Sim Vision/Indago, GDB) and programming in C, C++, Perl, TCL, or Python.
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Experience with emulation systems, maintenance, upgrades, and methodology enhancements.
Preferred qualifications
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Master's degree in Computer Science, Electrical Engineering, or a related technical field.
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Experience deploying EDA tools into distributed environments.
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Experience with system administration, networking, and security systems.
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Experience with Register-Transfer Level (RTL) design, Verilog, simulation, System Verilog, and assertions.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
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Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
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Junior/L3
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Bonus
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$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
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