About The Position

This position requires an experienced technical lead with a strong background in post silicon validation across multiple product iterations. The ideal candidate will have hands-on experience with DDR5 buffer of silicon bring-up and validation, including high-speed analog and mixed-signal characterization. The candidate should be comfortable leading bench-level validation and characterization activities, driving debug efforts, developing test methodologies, and collaborating cross-functionally with design, system, and product engineering teams.

Requirements

  • Bachelor's / Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 8+ years of hands-on experience in high-speed Analog and Mixed-signal signal devices.
  • Strong understanding of signaling levels, termination architectures, and signal integrity tradeoffs in systems.
  • Expertise in using typical high speed interface test equipment (BERT, Scope, Compliance S/W).
  • Proficiency in scripting languages (e.g., Python) for test automation and analysis.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills.

Nice To Haves

  • Master's degree in Electrical Engineering
  • Experience with advanced signal integrity measurements and applications for Design correlation.
  • Strong understanding of memory interface architecture, interface protocols, standards and operation, preferably DDR5.

Responsibilities

  • Leverage best‑known test and measurement techniques—including de‑embedding, high‑impedance probing, and noise compensation—to address complex signal‑integrity challenges as memory data rates continue to scale.
  • Support Design and Validation teams in the characterization of critical electrical and timing parameters for high‑speed memory devices.
  • Collaborate closely with designers and cross‑functional partners to debug and optimize performance using exploratory, open‑ended test approaches that extend beyond strict specification‑driven measurements.
  • Synthesize experimental results and systematically define subsequent validation and characterization experiments to fully isolate and understand complex issues.
  • Generate clear, consistent, and well‑structured reports tailored to a range of technical and non‑technical audiences, ensuring actionable insights and alignment across teams.
  • Develop and validate innovative applications of LLM/AI techniques to analyze large-scale validation datasets, generate effective visualizations, and reduce overall cycle time to final reporting.
  • Effectively document test methodologies, procedures, and assumptions to ensure results are reproducible, accurate, and scalable across validation efforts.
  • Communicate complex technical concepts with an appropriate level of detail tailored to each stakeholder, from deep technical audiences to broader cross‑functional teams.
  • Collaborate effectively with Validation Engineers across diverse geographic regions, languages, and technical backgrounds, fostering alignment and knowledge sharing within global teams.

Benefits

  • remote work option
  • Employee Resource Groups
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