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Unconventional AI

Analog computing substrate for energy-efficient AI

Digital Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • A B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field is required.
  • At least 8 years of industry experience in digital ASIC/SoC design is required.
  • Expertise in Verilog RTL coding and digital design fundamentals is required.
  • Familiarity with standard electronic design automation tools for simulation, synthesis, linting, and clock domain crossing analysis is required.
  • Understanding of the full ASIC design flow, from specification to tape-out, is required.
  • Excellent written and verbal communication skills are required.
  • Ability to lead junior engineers toward team goals and assist in developing their skills is required.

Responsibilities

  • Lead detailed micro-architecture definition and top-level integration of digital blocks, including CPU, memory subsystems, and interfaces.
  • Own integration of third-party IP into the main SoC fabric.
  • Provide technical guidance and mentorship to junior digital design engineers.
  • Contribute to best practices for design methodologies, code reviews, and quality assurance processes.
  • Enhance and contribute to early-stage design infrastructure for rapid tapeout.
  • Drive and perform hands-on RTL design for complex, timing-critical SoC blocks and digital interfaces, ensuring power, performance, and area targets are met.
  • Implement and debug key digital interfaces.
  • Perform initial synthesis and formal verification (LEC) to ensure the design is routable and meets frequency targets.
  • Create block-level timing constraints.
  • Run and resolve RTL linting, Clock Domain Crossing, and Reset Domain Crossing checks using industry-standard tools.
  • Participate in the block-level verification plan and help develop a robust verification environment.
  • Triage and debug complex simulation failures to ensure functional correctness.
  • Facilitate hand-off between internal design and internal or external physical implementation teams for synthesis and timing closure.

Desired Qualifications

  • Experience creating digital designs, including synchronous and asynchronous logic, state machines, and bus protocols.
  • Experience developing scripts or tooling for design automation.
  • Experience optimizing designs for performance, power, or area.
  • Experience with modern design methods, including generative AI code development platforms.
  • Experience with analog mixed-signal technology and interfaces.

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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