Physical Design Engineer

Posted 3 days ago

This is a fully remote position, open to applicants in California.

πŸ“‹ Description

β€’ Lead the physical implementation of intricate, high-performance blocks and top-level SoC integration from RTL to GDSII.

β€’ Execute floorplanning, power grid design, placement, clock tree synthesis (CTS), routing, and physical verification.

β€’ Drive ambitious Power, Performance, and Area (PPA) objectives.

β€’ Collaborate with architects to influence micro-architecture for improved physical routability and timing closure.

β€’ Take ownership of the final sign-off, including Static Timing Analysis (STA), IR drop analysis, Electromigration (EM), and Physical Verification (DRC/LVS/ERC).

β€’ Develop and automate physical design workflows and establish best practices for synthesis, formal verification (LEC), and parasitic extraction.

β€’ Work alongside digital and analog design teams to integrate custom analog mixed-signal blocks.

β€’ Assess potential AI-tool partners to enhance chip design efficiency.


⛳️ Requirements

β€’ B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related discipline.

β€’ Over 10 years of industry experience in digital physical design.

β€’ Proven history of successful tapeouts on modern process nodes; experience with 7nm, 5nm, or newer is preferred.

β€’ Expertise in Static Timing Analysis (STA) and achieving timing closure for high-frequency, complex designs.

β€’ Strong understanding of physical design challenges in advanced nodes, including multi-patterning, finFET effects, and low-voltage operation.

β€’ Proficient in power integrity analysis and techniques for noise coupling mitigation.

β€’ Expert-level knowledge of standard EDA tool suites, such as Synopsys Fusion Compiler, IC Compiler II, or Cadence Innovus.

β€’ Strong scripting abilities in Tcl, Python, or Perl.

β€’ Exceptional written and verbal communication skills.

β€’ Experience managing deliverables from external vendors or design houses.

β€’ Preferred: experience in physical design for machine-learning accelerators or large-scale systolic arrays.

β€’ Preferred: experience integrating large custom analog macros and complex power-sequencing requirements.

β€’ Preferred: hands-on experience with multi-voltage domains, UPF/CPF flows, and advanced power-gating techniques.

β€’ Preferred: familiarity with cutting-edge AI tools to expedite chip design.


🏝️ Benefits

β€’ Best-in-class health benefits.

β€’ 401k matching.

β€’ Truly unlimited PTO.

β€’ Complimentary meals in the Mountain View office.

β€’ Massive ownership and a significant opportunity to drive change.

β€’ Comprehensive package.

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