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Normal Computing

Develops probabilistic AI for enterprise applications

Hardware Engineer - PCB

Board & Electronics DesignUpdated on Nov 13
Full-time$200k - $400k /yr

About the Job

Requirements

  • Owned multiple PCBs end-to-end through design, simulation, fabrication, and bring-up.
  • Familiarity with common PCB tools, including Altium, Allegro, OrCAD, and Xpedition.
  • Experience building PCBs for expansion formats such as PCIe, including components such as FPGAs, high-speed memories, flash memories, and connectors such as 100G Ethernet.

Responsibilities

  • Own end-to-end development of the CIM substrate, from architecture and schematic design through layout, tapeout, custom PCB development, and post-silicon bring-up.
  • Lead the full PCB development cycle, including research, design, and evaluation of custom chips.
  • Lead post-silicon correlation and validation efforts, including root-cause analysis and general debugging.
  • Ensure the designed and manufactured PCB functions as intended.
  • Collaborate with analog, digital, and machine-learning engineers to improve system-level PPA.

Desired Qualifications

  • Experience leading, fabricating, and bringing up custom PCBs to evaluate custom CIM chips.
  • Experience working in a laboratory bench environment, including soldering with a microscope.
  • Experience using 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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