At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Duties:

Utilizing engineering background, provide pre-sales and/or post-sales technical customer support including implementation, training, and maintenance support for Electronic Design Automation (EDA) and semiconductor intellectual property (IP).
Drive technical evaluations and benchmarks to success by actively participating in customer discussions and gathering requirements and strategies to win.
Provide technical support to Cadence customers in the areas of Backend Digital Design Implementation and Signoff including Place and Route, Design Closure, and timing/power signoff.
Guide customers on how to best utilize Cadence technologies to achieve their design goals and meet project schedules.
Work closely with R&D (Research & Development) to enhance the tools and methodologies to meet and exceed customer requirements.
Conduct technical presentations and product demonstrations to Production Engineering and R&D teams to enhance the tool software.
Drive adoption and proliferation of Cadence tools and technologies.
Capture best practices and lessons learned from current evaluations/benchmarks and utilize them to improve efficiency and success rate in next engagements.
Some telecommuting permitted.
Must be available to work on projects at various, unanticipated sites throughout the United States.

Qualifications:

Bachelor’s degree in Electronic Engineering, Electrical Engineering, or related field.
Minimum six (6) years of progressive, post-baccalaureate experience in the job offered or in a related application engineering occupation.
Utilize industry-standard Place and Route tools, such as Cadence Innovus, and STA tools for tapeout designs
Synthesis, floor planning and signoff closure like crosstalk, Electro Migration, and Physical Verification checks
Utilize Clock Tree building for better skew and performance
Work on functional Engineering Change Orders (ECOs) and Timing ECOs for tapeout designs
Utilize TCL scripting language for automating regular workflow
Design and implementation of design with Machine Learning tools like Cerebrus
Must be available to work on projects at various, unanticipated sites throughout the United States.

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