NVIDIA

3 weeks ago

Director, Software Engineering - Semiconductor Inspection

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead software engineering for AI-powered semiconductor inspection systems, translating research into scalable, production-grade platforms across optical, e-beam, wafer and mask inspection, and metrology. Own strategy for agentic inspection in air-gapped fabs, drive integration of inspection workflows from detection to defect review, and set evaluation/monitoring/deployment standards. Manage teams and engineering roadmaps, collaborate with robotics groups, and represent NVIDIA in strategic customer engagements.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Define the vision and architecture for AI-powered semiconductor inspection systems across optical, e-beam, wafer and mask inspection, metrology, and defect review.
•Own strategy for agentic inspection solutions in air-gapped fab environments, including data triage, model inference, review assistance, root-cause analysis, human-in-the-loop approval, and secure deployment.
•Drive integration and evolution of inspection workflows across defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR pipelines.
•Set standards for moving research into customer-ready products with evaluation, failure analysis, monitoring, and production deployment paths.
•Lead engineering roadmap for AI for Semiconductor Inspection and Manufacturing solutions and represent NVIDIA in strategic customer engagements.

Pay and Benefits

Salary: USD 320,000 - 488,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in VLSI Engineering, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
•15+ years of validated experience in semiconductor manufacturing, building and developing tools and processes.
•5+ years leading and managing planning, staffing, budgeting, and expense prioritization, including recommending and implementing method changes.
•Knowledge of vision and signal-based measurement methods and metrology data workflows.
•Track record developing predictive analytics and machine learning algorithms with demonstrated improvement outcomes.

Experience:15+ yearsSemiconductor manufacturingAutomationMetrologyMachine learning

Education:Master's in VLSI Engineering, Computer Engineering, Electrical Engineering

Skills:LeadershipCommunicationAttention to detail

Tech Stack:AIMachine learningNIMsBlueprints

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 weeks ago

Director, Software Engineering - Semiconductor Inspection

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Director level

Key Responsibilities

•Define the vision and architecture for AI-powered semiconductor inspection systems across optical, e-beam, wafer and mask inspection, metrology, and defect review.
•Own strategy for agentic inspection solutions in air-gapped fab environments, including data triage, model inference, review assistance, root-cause analysis, human-in-the-loop approval, and secure deployment.
•Drive integration and evolution of inspection workflows across defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR pipelines.
•Set standards for moving research into customer-ready products with evaluation, failure analysis, monitoring, and production deployment paths.
•Lead engineering roadmap for AI for Semiconductor Inspection and Manufacturing solutions and represent NVIDIA in strategic customer engagements.

Pay and Benefits

Salary: USD 320,000 - 488,750 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in VLSI Engineering, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
•15+ years of validated experience in semiconductor manufacturing, building and developing tools and processes.
•5+ years leading and managing planning, staffing, budgeting, and expense prioritization, including recommending and implementing method changes.
•Knowledge of vision and signal-based measurement methods and metrology data workflows.
•Track record developing predictive analytics and machine learning algorithms with demonstrated improvement outcomes.

Experience:15+ yearsSemiconductor manufacturingAutomationMetrologyMachine learning

Education:Master's in VLSI Engineering, Computer Engineering, Electrical Engineering

Skills:LeadershipCommunicationAttention to detail

Tech Stack:AIMachine learningNIMsBlueprints

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor