
Posted 7 hours ago
PNR Applications Engineer, Staff
SynopsysPNR Applications Engineer, Staff
Requirements
ASIC design experience, RTL to GDSII flow knowledge, Advanced Node methodologies, Synopsys back end tools, Clock Tree Synthesis knowledge, BSEE with 7+ years or MSEE with 5+ years
Skills
ASICPhysical DesignSynthesis
About the role
Responsibilities
- Support the sale and adoption of Synopsys products by helping customers achieve performance improvements in chip design cost, quality, and development time
- Provide expertise in ASIC design using industry-standard tools for Placement, Optimization, CTS, and Routing
- Utilize Synopsys back-end tools for Logical and Physical Synthesis, AI methodologies, Timing Closure, and Static Timing Analysis
- Assist customers in exploiting new technologies and navigating advanced node methodologies
- Manage multiple customer issues simultaneously while maintaining high levels of customer sensitivity and priority setting
Requirements
- BSEE with 7+ years of experience or MSEE with 5+ years of experience
- Extensive experience in ASIC design and implementation
- In-depth knowledge of Synopsys back-end tools and advanced node routing
- Proficiency with back-end P&R tools such as Fusion Compiler or ICC2
- Strong understanding of RTL to GDSII full flow
- Excellent verbal and written communication and presentation skills
Preferred Qualifications
- Knowledge of Clock Tree Synthesis methodologies like H-Tree or MS-CTS
- Experience with front-end Synthesis tools including Design Compiler or Genus
- Proficiency with Static Timing Analysis (STA) tools such as PrimeTime or Tempus
Benefits
- Comprehensive range of health, wellness, and financial benefits
- Eligibility for annual bonuses and equity
- Competitive total rewards package based on location, skills, and experience
About the Company
Synopsys is a global leader in chip design, verification, and IP integration. We drive the innovations that shape the way we live and connect, providing the essential technology for the Era of Pervasive Intelligence, from self-driving cars to learning machines.
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Synopsys · Sunnyvale
