Senior Silicon Manufacturing Methodology Engineer

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Manufacturing & Production OperationsExperience: 8+ yearsSkills: ["Cross-functional collaboration","Communication","Technical documentation","Problem-solving","Engineering judgment"]

Own end-to-end manufacturing methodology for validating and screening new silicon features in high-volume flows. Translate system specs into DFP requirements, test content, coverage, and executable manufacturing test plans that improve quality, yield, and efficiency. Partner across teams to implement debug hooks and screening improvements, analyze yield/coverage correlations, and define data/analytics frameworks. Lead AI-assisted, secure documentation and automation as a durable source of truth feeding future production decisions.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Silicon Manufacturing Methodology Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Own end-to-end manufacturing methodology for validating and screening new silicon features in high-volume flows. Translate system specs into DFP requirements, test content, coverage, and executable manufacturing test plans that improve quality, yield, and efficiency. Partner across teams to implement debug hooks and screening improvements, analyze yield/coverage correlations, and define data/analytics frameworks. Lead AI-assisted, secure documentation and automation as a durable source of truth feeding future production decisions.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Mid level

Key Responsibilities

  • •Own manufacturing methodology strategy end-to-end, defining organization-wide standards for how issues are screened, debugged, and closed.
  • •Translate system specs and product POR into DFP requirements, test content, coverage, flows, and testability requirements; maintain the DFP roadmap across infrastructure planning, execution readiness, and sign-off alignment.
  • •Partner cross-functionally to implement test content, debug hooks, and screening improvements, aligning on manufacturability, test time, binning strategies, and cost-versus-coverage trade-offs.
  • •Turn incomplete yield, coverage, and correlation issues into hypothesis trees, measurement plans, and executable paths to closure.
  • •Define data and analytics frameworks for yield analysis, anomaly detection, and continuous improvement; lead AI-assisted, secure workflows and methodology documentation as the single source of truth.

Key Requirements

  • •BS/MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
  • •8+ years in silicon post-silicon validation and/or high-volume manufacturing test for complex SoCs, GPUs, CPUs, or similar.
  • •Hands-on test content bring-up, limit setting, correlation to characterization, and yield/coverage optimization; ownership of manufacturing test strategy from early planning through ramp to QS/production.
  • •Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis.
  • •Ability to frame ambiguous manufacturing problems, define evidence-driven trade-offs, and drive cross-functional alignment and closure around plans and sign-off criteria.
Experience:8+ years
Education:
Skills:Cross-functional collaborationCommunicationTechnical documentationProblem-solvingEngineering judgment
Tech Stack:PythonMATLABRSQLAI

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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