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Cisco

ARM-YEREVAN, Armenia

Standard Cells Characterization Engineer.

REMOTEENGINEERING
Meet the Team The Common Hardware Group (CHG) delivers the silicon, optics, and hardware platforms powering Cisco’s core Switching, Routing, and Wireless products. We design networking hardware for enterprises, service providers, the public sector, and nonprofit organizations worldwide. As part of the team behind Cisco Silicon One—the industry’s only unified silicon architecture spanning top-of-rack switches to web-scale data centers—you’ll help shape Cisco’s groundbreaking solutions by designing, developing, and testing some of the most advanced ASICs in the industry. Your Impact Lead the end-to-end characterization flow for standard cell libraries from extracted netlists through Liberty delivery and correlation against TSMC reference data. Define and maintain PrimeLib/Liberate characterization methodology, templates, and automation for timing, power, noise (CCS/NLDM), and leakage across PVT and RC corners. Drive correlation closure for delay, transition, capacitance, and leakage. Own extraction-to-char integration: LVS/StarRC setup, RC corner alignment (e.g., cbest_CCbest_T), well-bias port handling (VPP/VBB), and netlist quality gates. Debug characterization failures at the netlist, simulation, and Liberty-model level; root-cause issues in extraction, corner mismatch, bias connectivity, or SPICE model binding. Develop reusable Tcl/shell flows, validation checks, and documentation so characterization is repeatable across cells, corners, and library releases. Partner with library design, physical verification, and CAD teams on cell readiness, deck configuration, and release criteria. Lead characterization reviews; define sign-off criteria and drive closure on blockers before library release. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or a related field and 6 years of relevant experience, or Master's Degree and 4 years of experience, or PhD and 1 year of experience. First-hand experience characterizing standard cell libraries with PrimeLib, Liberate, or equivalent tools Strong understanding of Liberty formats (NLDM, CCS, CCS noise, leakage/power modeling) and TSMC (or equivalent foundry) characterization flows Experience with parasitic extraction (StarRC or equivalent), LVS, and RC corner / PVT alignment between extraction and characterization Solid understanding of CMOS device behavior, timing arcs, power domains, and well/substrate bias effects in deep-submicron nodes Preferred Qualifications Experience on advanced nodes (7 nm, 5 nm, 3 nm, 2 nm) with foundry std-cell libraries Familiarity with TSMC N2P (or similar) char packages, SPICE kits, and extraction guides Experience with LVF/statistical characterization and hold-margin flows Background in library QA, automated correlation reporting, and release management for high-volume silicon Proficiency in Tcl, Perl, or Python for flow automation and correlation analysis Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.
Pay
Not stated
Where
ARM-YEREVAN, Armenia
Work
Remote
Type
Not stated
Posted
7 Sep, 2026
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