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9 часов назад

AI Silicon, Silicon Validation Engineer (AI)

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
AI Silicon, Silicon Validation Engineer (AI): Driving post-silicon bring-up, validation, and characterization of novel AI computing silicon with an accent on mixed-signal circuit evaluation, hardware debugging, and Python-based lab automation. Focus on correlating silicon measurements with simulation models, diagnosing anomalies across silicon, boards, and software, and accelerating repeatable characterization of energy-efficient AI hardware.

Location: Mountain View, California, United States; complimentary meals are provided in the Palo Alto office.

Company

hirify.global is developing semiconductor-based computing technology designed to improve the energy efficiency of AI workloads by mapping neural networks more directly to device physics.

What you will do

  • Lead initial power-on and post-silicon bring-up of new silicon prototypes and hardware platforms.
  • Characterize and benchmark the functionality, performance, and power consumption of complex mixed-signal circuits.
  • Use oscilloscopes, logic analyzers, power analyzers, and other laboratory equipment to debug issues across silicon, boards, and software.
  • Design and maintain Python-based automation for characterization throughput, test repeatability, and data reporting.
  • Collaborate with system modeling, analog design, and digital design teams on validation requirements, simulation-to-silicon correlation, and root-cause analysis.

Requirements

  • Bachelor’s or master’s degree in electrical engineering, computer engineering, or a related field.
  • 5+ years of industry experience in post-silicon bring-up, hardware validation, or silicon characterization.
  • Experience operating laboratory test equipment, including oscilloscopes, logic analyzers, and power analyzers.
  • Demonstrated ability to characterize and debug mixed-signal circuits.
  • Experience with Python programming and laboratory automation.
  • Strong written and verbal communication skills.

Nice to have

  • Experience evaluating performance tradeoffs of neural network architectures.
  • Experience correlating mixed-signal silicon measurements with simulation models.
  • Understanding of hardware/software co-design for machine learning inference or training.
  • Familiarity with FPGA emulation and RTL simulation for post-silicon bring-up.
  • Familiarity with AI automation.

Culture & Benefits

  • Work on technically challenging problems spanning AI, physics, semiconductors, and computer architecture.
  • Join a small, multidisciplinary R&D team with significant ownership and impact.
  • Health benefits and 401(k) matching.
  • Unlimited paid time off.
  • Complimentary meals in the Palo Alto office.

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