Leads customer and partner engagements for Cadence timing signoff and closure solutions across advanced semiconductor nodes. Drives STA, IR Drop, power and timing closure benchmarks, flow optimization, tool adoption, and methodology deployment. Collaborates with R&D and product engineering, influences tool enhancements, leads technical programs, and represents Cadence through industry presentations and technical publications. Requires deep advanced-node signoff expertise, scripting skills, customer leadership, and familiarity with Cadence EDA tools.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Key Responsibilities
- Technical Expertise: Lead technical engagements with customers and partners to drive & adoption of Cadence signoff portfolio. Work closely with design teams to meet customer success metrics, guide adoption of Cadence’s timing signoff & closure and AgenticAI features across advanced nodes (5nm and below).
- Cross-Functional Collaboration: Partner with R&D and Product Engineering to influence tool enhancements based on real-world customer requirements.
- Innovation & Enablement: Drive complex benchmarks, flow optimizations, and deployment of cutting-edge methodologies for timing sigoff & closure, STA, IR Drop, and power/timing closure.
- Thought Leadership: Represent Cadence at industry forums, author technical papers, and deliver keynote presentations to position Cadence as a market leader.
Qualifications
- 15+ years of experience in IC design implementation and signoff, with demonstrated success in managing large-scale technical programs.
- BS/MS in Electrical Engineering, Computer Engineering, or related field.
- Deep expertise in digital design fundamentals, advanced node STA & ECOs (3nm and below), and EDA tool ecosystems.
- Core timing signoff expertise, advanced node STA, UPF & constraints debugging, hierarchical & 3DIC design STA and closure solutions
- Proven track record of leading technical teams and driving customer success at executive levels.
- Strong proficiency in scripting (Tcl, Python, Perl) and flow customization for design closure.
- Excellent communication, negotiation, and leadership skills with the ability to influence internal and external stakeholders.
- Prior experience with Cadence tools (Tempus, Certus, QRC) and competitive solutions highly desirable.
The annual salary range for Washington is $154,000 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 salary range is a guideline and 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.
We’re doing work that matters. Help us solve what others can’t.We welcome applications from candidates with disabilities and in equity seeking groups. If you have accessibility needs during the application and interview process, we encourage you to make your needs known.
Cadence Design Systems San Jose, California, USA Office
2655 Seely Avenue, San Jose, CA, United States, 95134
Cadence Design Systems Santa Clara, California, USA Office
Santa Clara, United States
Cadence Design Systems Sunnyvale, California, USA Office
Sunnyvale, United States
Similar Jobs
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Own project and case management across health underwriting products, coordinating intake, prioritization, tracking, dependencies, risks, and resolution. Partner with Product, Data Science, Data Engineering, Implementation, QA, and client teams to remove blockers and improve accountability. Build reporting on workload, ticket aging, bottlenecks, and resolution rates while connecting Salesforce, Jira, and spreadsheet workflows to automate processes and create a proactive, data-driven operating model.
Top Skills:
JIRAExcelSalesforce
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Owns operational metrics, dashboards, recurring reports, and analytical workstreams for fulfillment domains. Develops advanced SQL datasets and workflows, validates data quality, performs statistical and root-cause analysis, and translates findings into recommendations. Partners with operations, analytics, data science, and technology teams to resolve ambiguous requirements and deliver trusted insights. Creates reusable practices, reviews analytical work, and mentors junior analysts.
Top Skills:
ConfluenceDbtEltETLGitJIRAPower BIPythonRSnowflakeSQLTableau
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Develops SQL-based reporting, analysis-ready datasets, dashboards, and visualizations for fulfillment operations. Analyzes trends, validates data, documents metrics, supports business reviews and experiments, and partners with operations and technology teams to deliver actionable insights. Maintains Tableau or comparable BI reports, reconciles source systems, communicates findings, and contributes to continuous improvement across a complex fulfillment network.
Top Skills:
DbtPower BIPythonRSQLTableau
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
