Senior Manufacturing and System Co-Design Workflow Engineer

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 168,000 - 310,500 annuallyFunction: Manufacturing & Production OperationsExperience: 8+ yearsEducation: bachelorsSkills: ["Cross-org influence","Systems thinking","Automation mindset","Judgment","Workflow architecture"]

Own the methodology and infrastructure that keeps system, manufacturing, and test specifications aligned across NVIDIA’s GPU, SoC, and CPU portfolio. Define manufacturing spec types and govern their structure, versioning, and validation. Build production Python pipelines and automated checks to detect specification drift early, integrate SMAC across program milestones, and create agent-ready tooling and CI gates that make alignment consistent and provable at scale.

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FursaFursa
NVIDIA
NVIDIA
23 hours ago

Senior Manufacturing and System Co-Design Workflow Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Own the methodology and infrastructure that keeps system, manufacturing, and test specifications aligned across NVIDIA’s GPU, SoC, and CPU portfolio. Define manufacturing spec types and govern their structure, versioning, and validation. Build production Python pipelines and automated checks to detect specification drift early, integrate SMAC across program milestones, and create agent-ready tooling and CI gates that make alignment consistent and provable at scale.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Mid level

Key Responsibilities

  • •Define manufacturing spec types (schema and semantics) derived from system PORs and features, and govern how specifications are structured, versioned, and validated across the lifecycle.
  • •Develop production-grade Python pipelines and automated checks to catch specification drift between system POR and manufacturing test programs (ATE, SLT, BLT, L10+) before it reaches the tester.
  • •Integrate SMAC work into the end-to-end program spine (milestones, gates, artifacts) and define explicit TPM-driven attestation when checks lag.
  • •Build agent-ready tooling for rigorous engineering execution, including CLIs/MCPs, bug/spec retrieval, human-in-the-loop checkpoints, and evaluation-based CI gates.
  • •Drive cross-org adoption of SMAC methodology and tooling across Post Silicon (Prod), Operations, and DFX (DFT/DFP) teams.

Pay and Benefits

Salary: USD 168,000 - 310,500 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years in system software, silicon bring-up, or productization engineering, with BS, MS, or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering.
  • •Strong Python and systems skills, with experience shipping production services and data pipelines.
  • •Deep understanding of the spec ecosystem, including system POR, guard-bands, manufacturing screen specs, and test insertion constraints.
  • •Proven cross-org influence: methodologies others adopted and workflows you redefined beyond operating within them.
  • •Ability to apply AI with judgment using reviewable artifacts, and understanding where manual validation remains required.
Experience:8+ yearsSilicon bring-upProductization engineeringSemiconductor manufacturing
Education:Bachelor's in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering (equivalent also accepted)
Skills:Cross-org influenceSystems thinkingAutomation mindsetJudgmentWorkflow architecture
Tech Stack:PythonCICLIsMCPsLLMATESLTBLTTPMAI

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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