About this role
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Duties:
• Research, design, develop, and test electronic components and systems for Electronic Design Automation (EDA) and semiconductor intellectual property (IP) employing knowledge of electronic theory and materials properties. • Act as solutions expert responsible for driving the deployment of Cerebrus AI studio and Cerebrus products. • Lead project teams of product engineers and internal development partners responsible for Cadence Cerebrus product. • Deliver training sessions for field organization, customer training events, cross functional learning events. • Review customer specifications and requirements and provide feedback or solutions for product quality and mitigate risk of product failure. • Develop organization-wide flow and methodologies for Cerebrus product. • Analyze the customer accounts and engage the right people to solve the customers’ use cases and customer needs. • Some telecommuting permitted. • Must be available to work on projects at various, unanticipated sites throughout the United States and internationally.
Qualifications:
• Bachelor’s degree in Electronic Engineering, Electrical Engineering or related field. • Minimum eight (8) years of progressive, post-baccalaureate experience in the job offered or in a related engineering occupation. • RTL-to-GDSII implementation designs using industry standard tools including Cadence Innovus and Synopsys IC Compiler • Sign-off ECO flows for timing and IR drop, and sign-off physical verification flows, including DRC and LVS closure using industry sign-off tools • Development and deployment of flow methodologies for custom clock tree implementation for Central Processing Unit (CPU) subsystems • CPU and Graphics Processing Unit (GPU) class design closure, and resolving timing, power, and congestion challenges • EDA flow automation with TCL and Python, including scripting, data extraction, log parsing, and custom utilities • Development of Machine Learning (ML) and Artificial Intelligence (AI) based flow and design improvements for digital design implementations • Advanced node/technology placement/routing optimization for high complexity CPU/GPU designs • Hierarchical floor planning and SoC assembly, including interface planning, feedthroughs, and tiling • Must be available to work on projects at various, unanticipated sites throughout the United States and internationally. The annual salary range for California is $238,578 to $286,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base salary range is a guideline, and individual total compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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