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Unconventional AI

Analog computing substrate for energy-efficient AI

AI Silicon Analog CAD Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeMountain View, CA, USANo salary listed

About the Job

Requirements

  • A B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field is required.
  • At least 10 years of industry experience in analog or mixed-signal CAD engineering and electronic design automation (EDA) tool administration is required.
  • Expertise installing and validating foundry-provided Process Design Kits (PDKs) and standard cell libraries is required.
  • A deep understanding of schematic, layout, and simulation setup across different process corners and temperatures is required.
  • Proficiency setting up and debugging backend verification rule decks, including Design Rule Checking (DRC), Layout Versus Schematic (LVS), and Electrical Rule Checking (ERC), for advanced nodes is required.
  • Strong scripting skills in Tcl, Python, or Perl for automating design flows and data analysis are required.
  • Experience writing comprehensive flow documentation and providing knowledge transfer to design teams is required.
  • Excellent written and verbal communication skills are required.

Responsibilities

  • Drive the installation, configuration, and integration of CAD environments for analog and digital teams.
  • Develop agentic AI-based analog workflows to improve productivity and design quality.
  • Manage installation and version control of foundry-provided PDKs, standard cell libraries, and input/output libraries.
  • Set up environment variables, configuration files such as lib.def and startup scripts, and shared library structures for the design team.
  • Configure schematic-entry and layout-editor environments, including bindkeys, display settings, layer definitions, and parameterized-cell (PCell) integration.
  • Create and validate scripts for final GDSII streamout.
  • Interface with the foundry throughout the tapeout process, including tapeout forms and job views.
  • Help evaluate new CAD tools.
  • Manage a revision-control system for check-in and checkout procedures and provide visibility across designer libraries.
  • Create comprehensive documentation covering installation procedures, environment settings, and step-by-step run instructions for GDS, LVS, and DRC.
  • Provide thorough knowledge transfer to the internal design team.

Desired Qualifications

  • Hands-on experience creating automated flows that bridge Verilog register-transfer-level (RTL) design, synthesis, and physical layout back into an analog design environment.
  • Experience administering EDA tools deployed in software-as-a-service (SaaS) or cloud-compute environments, including optimizing license allocation and job scheduling.
  • Familiarity with state-of-the-art AI tools to accelerate chip design.

About the Company

Unconventional AI

Analog computing substrate for energy-efficient AI

Unconventional AI designs analog AI hardware and silicon substrates that run neural networks directly in hardware. Its chips use analog circuits that mimic biological neuron dynamics to process AI workloads in the physics of silicon, reducing energy use compared with digital GPUs. It differentiates itself by pursuing an in-hardware, neuromorphic-style substrate rather than optimizing existing GPUs, supported by prominent venture funding. Its goal is to counter the AI energy bottleneck and enable scalable AI in data centers with biology-scale efficiency.

Company size
51-200
Company stage
Seed
Total funding
$475M
Headquarters
San Diego, CA
Founded
2025

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