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Normal Computing

Develops probabilistic AI for enterprise applications

Hardware Engineer - Physical Design

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-time$200k - $400k /yr

About the Job

Requirements

  • At least 3 successful tapeouts from netlist to signoff, ideally across advanced technology nodes.
  • Hands-on experience with industry-standard physical design tools such as Innovus, IC Compiler II, Tempus, PrimeTime, Pegasus, and Calibre across floorplanning, place-and-route, clock tree synthesis, and signoff timing closure.
  • Ability to analyze and resolve static timing analysis bottlenecks, IR/EM drop issues, crosstalk, and complex DRC/LVS signoff violations.
  • Ability to collaborate with RTL, architecture, and DFT teams to influence floorplanning, pin placement, and early physical feasibility.

Responsibilities

  • Lead the full netlist-to-GDSII physical design flow, including floorplanning, power grid design, placement, clock tree synthesis, and place-and-route.
  • Own static timing analysis, timing constraints creation and validation, and signoff timing closure across all operating corners and modes.
  • Drive physical optimization for power, performance, and area, as well as power integrity and crosstalk analysis.
  • Execute full chip and block physical signoff checks, including DRC, LVS, ERC, and antenna fixes, ensuring seamless handoff to the foundry.
  • Collaborate with RTL, architecture, and DFT teams on early floorplanning, macro placement, pin assignments, and physical feasibility.
  • Create and execute tapeout checklists, manage final stream-out processes, and support post-silicon physical debugging and bring-up as needed.

Desired Qualifications

  • Experience at an AI or high-performance computing chip startup where design, verification, and physical design work in tight iteration cycles.
  • Experience with custom memory or macro floorplanning, hierarchical top-level implementation, or advanced packaging such as chiplets and 2.5D/3D integration.
  • Hands-on experience developing or maintaining automated TCL/Python scripting frameworks for physical design flows.

About the Company

Normal Computing

Develops probabilistic AI for enterprise applications

Normal Computing builds AI systems for large, mission-critical workloads and provides generative AI tailored for enterprises. It uses Probabilistic AI, which uses statistical analysis to predict outcomes, giving firms more control over reliability, adaptability, and auditability. The company differentiates itself through leadership from Google Brain, Palantir, and X, and by focusing on risk-aware, enterprise-grade AI for industries with strict risk constraints. Its goal is to help Fortune 500 companies and government agencies deploy AI in critical operations with strong reliability, clear audit trails, and manageable risk.

Company size
51-200
Company stage
Early VC
Total funding
$133M
Headquarters
New York City, New York
Founded
2022

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