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Senior Silicon Power, Thermal Validation and Methodology Engineer

NVIDIA· Engineer, ASIC
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Santa Clara, CA$168k - $264.5kPosted 2mo ago

About the role

Senior engineer focused on power and thermal productization methodology for NVIDIA’s silicon programs, leading multi-functional teams, developing AI-enabled workflows, and owning technical decisions across bring-up, validation, and release of power/thermal features.

Responsibilities

  • Lead the effort across multi-functional teams to keep the program’s power and thermal productization strategy clear, executable, and on track.
  • Create methodology and silicon test plan based controller designs and architecture, including characterization process, debug tools, fuse/firmware settings and lab requirements.
  • Drive resolution for challenging silicon issues through structured hypotheses, measurement plans, and root-cause closure.
  • Steward the Power and Thermal playbook when the existing productization methodology does not fit the problem, creating new mitigations and assembling them as reusable methods.
  • Build AI-enabled workflows to automate data analysis, metric extraction, trend checks, and report generation across multiple bringups to improve, leverage, and shorten time to market.
  • Serve as a key technical owner for multi-functional decisions, issues, and tradeoffs related to feature bring-up.

Qualifications

  • BS or MS in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • 8+ years of proven track record in post-silicon bring-up and validation of power and thermal features on sophisticated ASIC or SoC programs.
  • Strong end-to-end understanding of silicon behavior across architecture, firmware, validation, and platform interactions, with expertise in power and thermal domains.
  • Evidence of creating/improving characterization docs, debug tools, dashboards, or other reviewable technical artifacts.
  • Demonstrated ability to make sound tradeoff decisions across power, thermal, performance, firmware, design, validation, and schedule constraints.
  • Shown experience building or applying AI-enabled workflows for silicon characterization or validation, with measurable workflow impact and clear validation difficulty, observability, and guardrails.

Skills

Required:Power and thermal domain expertiseCharacterization documentationAI-enabled workflows for siliconTradeoff decision makingLeadership across multi-functional teams

Benefits

  • equity
  • benefits (see company benefits page)
Last updated Sep 25, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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