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DFT Engineer

🕒 Outubro 1

🏄 California – Remoto

infoinfo

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👷🏻‍♀️ Engenheiro

🗣️🇺🇸🇬🇧 Inglês obrigatório

Perl

Python

De onde vem esta vaga

Publicada na página de carreiras da Unconventional AI, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 1

Ainda aberta no site da Unconventional AI. Verificada 9 horas atrás.

Logo of Unconventional AI

Unconventional AI

11 - 50 funcionários

🤖 Inteligência Artificial

🔧 Hardware

⚡ Energia

Artificial Intelligence • Hardware • Energy

A Unconventional AI está repensando as bases de um computador para otimizar a eficiência energética para IA. Fundada por especialistas em sistemas de IA, circuitos analógicos, teoria da computação e neurociência, a empresa visa trazer eficiência em escala biológica para a inteligência artificial, redesenhando a arquitetura computacional e o hardware para reduzir o consumo de energia em cargas de trabalho de IA.

Descrição

• Lead implementation of comprehensive test architectures using industry-standard CAD tools, including scan compression, MBIST, and JTAG/boundary scan logic • Drive bottom-up hierarchical DFT methodologies for large-scale SoC designs, including core-level test wrapping, pattern retargeting, and top-level test integration • Own DFT strategy and work with foundry interfaces to analyze defect densities and improve test-chip yield • Drive DFT methodologies for 2.5D/3D multi-stacked die packaging and ensure test coverage across die-to-die interfaces using standards such as IEEE 1838 • Facilitate integration and testability of custom analog mixed-signal blocks and develop test strategies for non-standard analog macros • Drive test coverage, test time, and yield targets while influencing micro-architecture for improved Power, Performance, and Area (PPA) • Own final DFT sign-off, including ATPG, test-vector validation, fault simulation, and timing closure during STA for all test modes • Contribute to design-flow development and automation and establish testability best practices for first-pass silicon success • Evaluate potential AI-tool partners that could improve chip-design efficiency

🎯 Requisitos

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field • 10+ years of industry experience in digital DFT and test architecture • Track record of successful tapeouts on modern process nodes; 7nm, 5nm, or newer preferred • Deep expertise in scan compression, MBIST generation, fault modeling (stuck-at, transition, path delay), and ATPG • Deep understanding of physical design challenges in advanced nodes, including multi-patterning, finFET effects, and low-voltage operation, and their impact on test reliability • Expertise in Static Timing Analysis (STA) and timing closure for complex designs in shift and capture test modes • Expert-level mastery of standard EDA CAD 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 • Experience managing deliverables from external vendors or design houses

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