CAD Engineer, Intellectual Property Quality Flow, Silicon
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Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 4 years of experience implementing, troubleshooting, and supporting Unix/Linux operating systems.
- Experience with writing/modifying code to improve monitoring and automation (Python, Shell, etc.).
- Experience in programming languages (e.g., Python, C++), and with functional, regression or negative testing.
Preferred qualifications:
- Familiarity with OpenAccess/oaScript.
- Familiarity with EDA tools used in the SoC development process, and with TCL.
- Knowledge of various IP collateral deliveries, such as LEF, GDS, Verilog, Liberty, etc.
- Ability to demonstrate fundamentals on IP analysis, from RTL2GDS, for various IP types.
About the job
Be part of a diverse 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.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities
- Develop Quality Assurance (QA) flow and other Intellectual Property (IP) life-cycle management related initiatives.
- Collaborate with cross-functional teams to define and document customer requirements and identify gaps in QA coverage.
- Support users running QA flow with any questions or issues reported.
- Interface with third-party IP vendors on defining IP quality standards, metrics and reporting requirements. Drive vendors to resolve quality issues systematically.
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