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Efficient Computer

Energy-efficient processors for edge IoT computing

Senior Staff Physical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Master's degree in Electrical Engineering and at least 5 years of industry experience, or a PhD in Electrical Engineering and at least 3 years of industry experience.
  • 8–12+ years of physical design experience, including at least 2–3 full tapeouts at chip-top/SoC integration level rather than only block-level.
  • Deep hands-on experience with advanced nodes.
  • A proven track record owning full-chip timing closure across multiple corners and modes on a complex SoC.
  • Strong PDN, IR-drop, and EM analysis experience using Voltus or an equivalent tool.
  • Experience with chip-level DFT integration, including scan stitching, MBIST, and JTAG.
  • Fluency with Innovus or ICC2, Tempus or PrimeTime, RedHawk, and Calibre.
  • Demonstrated ability to lead technically without direct reports and drive alignment across engineers and teams on convergence decisions.
  • Ability to work with significant ownership and ambiguity in a small, fast-moving team and solve convergence problems directly.
  • Excellent scripting skills in TCL, shell, and Python.
  • Knowledge of computer architecture.
  • Knowledge of physical design and ASIC implementation.
  • Experience in full-chip sign-off convergence.
  • Knowledge of circuit design, device physics, deep sub-micron technology, and its implications for physical design.
  • Proficiency with an industry-grade physical design flow.
  • Experience integrating analog or mixed-signal macros into top-level design.

Responsibilities

  • Own end-to-end SOC-top physical design for next-generation SoCs, from block integration through timing, power, signal integrity, and physical closure to tapeout-ready GDS.
  • Perform full-chip integration, including floorplanning, power planning, macro and hard-IP placement, and top-level block partitioning, ensuring convergence across hierarchical blocks.
  • Drive full-chip static timing analysis across all corners and modes, including setup, hold, on-chip variation, multi-mode multi-corner analysis, cross-boundary timing, and ownership of chip-level SDC constraints.
  • Own full-chip power planning, power distribution network design and analysis, including IR drop and electromigration, rail architecture, and coordination of power-gating strategy with block owners.
  • Close top-level physical verification, including DRC, LVS, and antenna checks; integrate the seal ring; and coordinate ECO cycles across blocks.
  • Close chip-level signal integrity and noise issues, including crosstalk and di/dt, especially around high-speed I/O and PLL/analog boundaries.
  • Define top-level clock-tree strategy across domains, including clock-tree synthesis coordination with block owners.
  • Integrate chip-level DFT, including scan stitching, MBIST, and JTAG, and coordinate with the DFT lead on ATPG and full-chip test-coverage closure.
  • Coordinate bump and ball maps, I/O ring planning, and package-aware floorplanning with package and I/O teams.
  • Own the tapeout sign-off checklist for timing, power, physical design, and reliability, and deliver the final GDS handoff.
  • Serve as the convergence-focused point of contact among block-level physical design owners, DV, DFT, package engineering, and architecture, aligning tradeoffs and managing schedule risks.
  • Mentor block-level physical design engineers on convergence best practices and set chip-top closure methodology and flow standards.

Desired Qualifications

  • Familiarity with package co-design, including flip-chip/BGA, C4 bumps, and ball maps.
  • Experience with non-standard or novel architectures, such as dataflow, tiled, or NoC-based architectures.

About the Company

Efficient Computer

Energy-efficient processors for edge IoT computing

Efficient Computer makes energy-efficient programmable processors for IoT edge devices and sells a compatible software toolchain that fits existing embedded languages and AI/ML workflows. These processors run local computations at the edge, reducing the need to send data over wireless links, which saves power and enables real-time processing and data compression. Its strength comes from combining hardware with a developer-friendly ecosystem rather than relying on general-purpose chips, helping deployments last longer in places without wired power. Its goal is to enable widespread, cost-effective edge deployments by dramatically lowering energy use and total cost of ownership for IoT networks.

Company size
51-200
Company stage
Series B
Total funding
$173M
Headquarters
Pittsburgh, PA
Founded
2022

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