6 дней назад
SIPI Characterization Engineer (AI Hardware)
160 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SIPI Characterization Engineer (AI Hardware): Building electrical characterization and test-automation infrastructure for high-speed SerDes interfaces and power-delivery networks in advanced AI accelerator systems with an accent on lab measurement, signal integrity, power integrity, and design correlation. Focus on validating thousands of channels, analyzing BER, jitter, eye diagrams, channel loss, PDN behavior, and integrating automated lab equipment into scalable data pipelines.
Location: Mountain View, CA or Remote
Salary: $160,000–$400,000 per year
Company
is building advanced AI hardware and high-performance compute systems for large-scale AI workloads, including accelerator silicon and scalable hardware infrastructure.
What you will do
- Characterize high-speed SerDes interfaces, including PCIe, Ethernet, and custom protocols.
- Perform BER, eye-diagram, jitter, link-margin, PVT, insertion-loss, return-loss, and crosstalk analysis.
- Measure power-delivery-network impedance, transient noise, voltage droop, resonance, and voltage-regulator response.
- Build scalable electrical-design-validation automation for large numbers of SerDes channels.
- Integrate oscilloscopes, BERTs, VNAs, power analyzers, and other laboratory equipment into automated test flows.
- Correlate simulation with measurement data and provide design recommendations for boards, packages, and silicon.
Requirements
- 5–10 years of industry experience in hardware characterization, signal integrity, power integrity, or a related field.
- Bachelor’s degree or higher in Electrical Engineering or a related discipline.
- Deep knowledge of SerDes architectures, PHY-layer operation, equalization, jitter, BER, eye diagrams, and link-margin analysis.
- Strong understanding of transmission-line theory and power-delivery-network design principles.
- Hands-on proficiency with high-speed electrical laboratory equipment.
- Experience developing test automation, preferably with Python, and correlating simulation and measurement data.
Nice to have
- AI accelerator or GPU system-validation experience.
- PCIe compliance testing and familiarity with JEDEC methodologies.
- Statistical process control or large-scale silicon-characterization experience.
- PCB layout review, advanced package design, die-to-die, chiplet, or multi-chip system experience.
Culture & Benefits
- Full-time role focused on advanced accelerator hardware and electrical validation.
- Cross-functional collaboration with signal-integrity, power-integrity, packaging, board-design, and silicon teams.
- Work spans laboratory characterization, automation, design correlation, and feedback into future hardware revisions.
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