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6 дней назад

Principal Machine Learning & Silicon Yield Engineer (AI)

109 700 - 175 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Machine Learning & Silicon Yield Engineer (AI/Semiconductors): Building predictive yield and PPA optimization tools from SoC telemetry and volume ATE production test data with an accent on machine learning, deep learning, GenAI, silicon characterization, and semiconductor manufacturing. Focus on analyzing wafer-level yield, circuit telemetry, failure mechanisms, and deploying scalable production workflows using Spice, Cadence Virtuoso, and STA tools.

Location: USA-AZ-Chandler-North Juniper Drive, United States of America

Annual base salary: USD 109,700–175,500

Company

hirify.global develops semiconductor technologies and related hardware products.

What you will do

  • Design, build, deploy, and productize ML, DL, and GenAI models for wafer-level yield prediction and PPA optimization.
  • Organize, clean, and analyze large multi-source SoC telemetry, sensor, and production test databases.
  • Interpret parametric data, on-chip sensor readouts, and circuit telemetry to identify failure mechanisms and marginalities.
  • Collaborate with foundry, product engineering, DFM, and DFT teams on yield and PPA strategies.
  • Develop, qualify, scale, and release experimental data workflows for production use.
  • Perform Spice modeling and simulation using relevant modeling tools, Cadence Virtuoso, and Primetime STA tools.

Requirements

  • MS with 6 years of experience or Ph.D. with 3 years of experience in Electrical Engineering, Computer Science, or a related field.
  • Proven semiconductor-industry experience in silicon macro characterization and SoC telemetry analysis.
  • Deep expertise applying machine learning and artificial intelligence techniques, including deep learning, anomaly detection, and multivariate regression, to physical hardware datasets.
  • Strong programming skills in Python, R, or C++ and hands-on experience handling massive databases.
  • Deep understanding of semiconductor manufacturing processes, wafer fabrication, DFM practices, and EDA tools.
  • Experience with Spice modeling tools, Cadence Virtuoso, and familiarity with Primetime STA tools.

Nice to have

  • Education or research experience at a top-tier semiconductor research institution such as Stanford, UC Berkeley, MIT, Purdue, or UIUC.

Culture & Benefits

  • Full-time employment with medical, dental, and vision plans.
  • 401(k) participation with company matching, ESPP, EAP, paid holidays, paid sick leave, vacation, and applicable paid family and other leave.
  • Eligibility for a discretionary annual bonus, competitive new-hire equity grants, and annual equity awards, subject to plan documents and award agreements.
  • Equal-opportunity employment is provided in accordance with applicable federal, state, and local laws.

Hiring process

  • First-time applicants must create a candidate login account before applying; existing candidates must sign in before applying.
  • Applicants located outside the USA should provide a home address for future correspondence.

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