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Normal Computing

Develops probabilistic AI for enterprise applications

Custom Memory Design Engineer

Silicon & ASIC DesignUpdated on Nov 7
Full-time$175.8k - $255.6k /yr

About the Job

Requirements

  • Developed RAM intellectual property from specification to GDSII in modern technologies, including taping out and bringing up silicon.
  • Worked on SRAM or DRAM memory technologies at the core level, including bitcell arrays and peripheral circuits.
  • Designed and characterized custom bitcells in schematic and layout.
  • Proficient with the Cadence flow, including Virtuoso, Spectre, Assembler, extraction, layout, HSMC, and characterization.
  • Understand noise and variation and their impacts on silicon performance and reliability.

Responsibilities

  • Design unique RAM circuits in various RAM technologies, including SRAM and DRAM, to support the computational architecture.
  • Own end-to-end development of RAM circuits, from clean-sheet design through closure and tapeout, and silicon bring-up.
  • Lead the full custom RAM development cycle, from architecture and methodology establishment through tooling, design, and closure.
  • Develop or acquire RAM intellectual property for use in Normal Silicon, including RAM PDKs.
  • Acquire or help direct RAM design EDA tool development.

Desired Qualifications

  • Lead, tape out, and bring up compute-in-memory chips.
  • Have experience and comfort working in a chip measurement environment for debug and characterization.
  • Have used AI and/or scripting languages, such as Python or Perl, to automate design flows and data post-processing.

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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