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Normal Computing

Develops probabilistic AI for enterprise applications

Hardware Engineer - Analog Design

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

About the Job

Requirements

  • Experience developing analog intellectual property from specification to GDSII in modern technologies, including tapeout and bring-up.
  • Experience in analog cell library development.
  • Fluency with the Cadence flow, including Virtuoso, Spectre, Assembler, Extraction, Layout, HSMC, and Characterization.
  • Deep understanding of noise and variation and their impacts on silicon performance and reliability.

Responsibilities

  • Establish analog design-flow methodology, including acquisition of electronic design automation tools.
  • Analyze and develop analog circuits, including developing specifications, schematic-level design, circuit simulation and verification, integration with digital design and simulation, timing, power and design-rule closure, and tapeout.
  • Direct the specification and acquisition of analog intellectual property for use in Normal Silicon.
  • Assist in directing internal electronic design automation tool development to support analog designs, including cell and library creation and circuits.
  • Evaluate custom memory designs, including SRAM, DRAM, and compute-in-memory architectures.
  • Build core mixed-signal technology for the company's computing architecture.
  • Design analog circuits and create library cells and macros.
  • Own end-to-end analog development from clean-sheet circuit design through parasitic extraction and silicon bring-up.

Desired Qualifications

  • Experience leading, taping out, and bringing up analog/mixed-signal silicon.
  • Experience in a chip measurement environment for debug and characterization.
  • Experience using artificial intelligence 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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