Senior Circuit Methodology Engineer

NVIDIA
Shanghai
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Communication","Cross-team collaboration","Technical leadership","Problem solving","Decision making"]

Define and drive circuit methodologies across GPUs and SoCs, translating product requirements into design methodologies that improve circuit behavior, performance, quality, and feature readiness. Own methodology development and validation strategies from pre-silicon through productization, including left-shift characterization and silicon learning loops. Lead cross-functional alignment, use incomplete silicon data to drive closure plans, and build AI-assisted, secure workflows with human oversight for critical judgments.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Circuit Methodology Engineer

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Job Summary

Define and drive circuit methodologies across GPUs and SoCs, translating product requirements into design methodologies that improve circuit behavior, performance, quality, and feature readiness. Own methodology development and validation strategies from pre-silicon through productization, including left-shift characterization and silicon learning loops. Lead cross-functional alignment, use incomplete silicon data to drive closure plans, and build AI-assisted, secure workflows with human oversight for critical judgments.
Location: Shanghai
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead circuit methodology direction and delivery across circuit behavior, performance, quality, feature readiness, and release criteria from pre-silicon through productization.
  • •Accelerate NPI using left-shift characterization, prototyping, and early validation methods to reduce downstream risk.
  • •Convert incomplete silicon data into hypothesis trees, measurement plans, and practical closure paths while driving tradeoffs across performance, quality, coverage, cost, and schedule.
  • •Translate feature goals and circuit behavior into executable requirements, validation strategies, screening plans, reusable frameworks/tools, and best practices across programs.
  • •Partner with cross-functional teams to align feature intent, execution, and release readiness across programs and build secure, traceable AI-assisted workflows with human oversight.

Key Requirements

  • •BS/MS in Electrical Engineering or Computer Engineering (or equivalent practical experience).
  • •8+ years of semiconductor design experience with strong technical leadership in complex silicon or circuit methodology work.
  • •Ability to bridge hardware and software specifications with silicon implementation.
  • •Experience delivering prototyping, left-shift, and silicon-correlation methodologies covering circuit behavior, performance, quality, and product readiness.
  • •Hands-on experience with silicon bring-up, validation, test coverage optimization, yield ramp, and quality issue resolution.
Experience:8+ yearsSemiconductor designVLSISilicon validationSilicon bring-up
Education:Master's in Electrical Engineering; Computer Engineering
Skills:CommunicationCross-team collaborationTechnical leadershipProblem solvingDecision making
Tech Stack:SemiconductorVLSISilicon bring-upSilicon correlationValidationAI-assisted engineering workflowsRAGAI agentsLLM benchmarking

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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