U

Unconventional AI

Analog computing substrate for energy-efficient AI

DFT Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

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 digital DFT and test architecture, with successful tapeouts on modern process nodes; experience at 7nm, 5nm, or newer is preferred.
  • Deep expertise in scan compression, Memory Built-In Self-Test generation, fault modeling (stuck-at, transition, and path delay), and Automatic Test Pattern Generation.
  • Deep understanding of advanced-node physical design challenges, including multi-patterning, finFET effects, and low-voltage operation, and their impact on test reliability.
  • Expertise in Static Timing Analysis and timing closure for complex designs in shift and capture test modes.
  • Expert-level mastery of standard electronic design automation computer-aided design tool suites for DFT implementation and vector generation.
  • Strong scripting skills in Tcl, Python, or Perl for design-flow automation and data analysis.
  • Excellent written and verbal communication skills, with experience managing deliverables from external vendors or design houses.

Responsibilities

  • Lead implementation of comprehensive test architectures using industry-standard computer-aided design tools, including insertion, configuration, and verification of scan compression, Memory Built-In Self-Test, and JTAG/boundary scan logic.
  • Drive bottom-up hierarchical DFT methodologies for large-scale system-on-chip designs, managing core-level test wrapping, pattern retargeting, and top-level test integration to optimize runtime and capacity limits.
  • Own the overarching DFT strategy; work closely with foundry interfaces to analyze defect densities and drive yield improvements for test chips.
  • Drive DFT methodologies for 2.5D/3D multi-stacked-die packaging and ensure test coverage across die-to-die interfaces using emerging standards such as IEEE 1838.
  • Facilitate integration and testability of custom analog mixed-signal blocks and develop test strategies for non-standard analog macros operating within the digital fabric.
  • Drive test coverage, test time, and yield targets while working with architects to influence microarchitecture for improved power, performance, and area.
  • Own final DFT sign-off, including Automatic Test Pattern Generation, test-vector validation, fault simulation, and timing closure during Static Timing Analysis for all test modes.
  • Contribute to design-flow development and automation, and establish testability best practices to support first-pass silicon success.
  • Evaluate potential partners offering AI tools that could improve chip-design efficiency.

Desired Qualifications

  • Hands-on experience with modern die-to-die interconnect test strategies, chiplet testing, and 3D-IC DFT architectures.
  • Experience with test architecture for machine-learning accelerators or large-scale systolic arrays.
  • Experience with top-level integration of large custom analog macros and complex power-sequencing requirements.
  • Familiarity with state-of-the-art AI tools to accelerate chip design.
  • Experience with tapeouts on 7nm, 5nm, or newer process nodes.

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

Recently Posted Jobs

Explore more opportunities at Unconventional AI

See more jobs