Qualcomm

CPU Server Physical Design Methodology, Infrastructure and Automation Engineer

$142KFull-time · Santa Clara, CA
✓ Verified live on the employer's own system · added 34 days ago
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Senior · 10+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 10+ years

Skills & tools

CadScriptingPythonHtml CssJavascriptElectricalData AnalysisRoot Cause Analysis
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Full job description

As a CPU Physical Design Infrastructure and Automation Engineer, you will work with implementation and CAD teams to implement infrastructure improvements and automation needs for next generation CPUs.

* Experience with Synthesis, place and route and signoff timing/power analysis.

* Proficiency in scripting (TCL, Python, Perl, CSS, HTML, JS, CGI)

* MS degree in Electrical Engineering; 10 years of practical experience

* Understanding of industry standard tools for synthesis, place & route, STA and design signoff.

* Data analytics skills to identify and root cause design bottlenecks, scripting and providing visual aids using AI-assisted utilities and models.

* Good software and programming skills to represent complex data metrics for productivity enhancement and scalability

* Work with cross functional teams (PD, CAD, Methodology and STA) to bring up design infrastructure and dashboards for multiple CPU designs and domains.

* Work with all block level implementation teams to analyze, implement and improve the optimization method as it pertains to the designs.

* Work on developing new prediction models and automation for quick timing, power and area estimation.

- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 1+ year of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.

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