Staff Validation Engineer

Renesas ElectronicsTempe, AZ
21hHybrid

About The Position

This position requires an experienced technical lead with a strong background in silicon validation across multiple product iterations. The ideal candidate will have hands-on experience with DDR5 buffer, including high-speed analog and mixed-signal characterization. A solid understanding of memory interfaces used in server and enterprise applications is highly preferred. 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. Component Bench Validation and Characterization · 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. Data Analysis and Reporting · 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. · . Technical Communication · 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.

Requirements

  • Bachelor's / Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 8+ years of hands-on experience in characterizing high-speed interfaces, particularly memory-related applications.
  • Strong understanding of memory interface architecture and operation, preferably DDR5.
  • In-depth knowledge of memory interface protocols and standards (e.g., JEDEC specifications).
  • Strong understanding of memory-interface signaling levels, termination architectures, and signal integrity tradeoffs in high-speed DDR 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.

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.
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