9 часов назад
AI Silicon, Silicon Validation Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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