NVIDIA

1 month ago

Senior Systems Software Engineer, Semiconductor Systems Inspection

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Senior Software Engineer focused on building AI-powered semiconductor inspection systems, translating research into production-grade models and inference pipelines. Work on computer vision, multimodal AI, anomaly detection, and deployment optimization within a small high-impact team to accelerate roadmap progress for semiconductor manufacturing applications.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and prototype AI system architectures for semiconductor defect inspection across optical/e-beam/wafer/mask inspection, metrology, and defect review workflows.
•Advance multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding for inspection systems.
•Integrate and enhance existing computer vision workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR with partners.
•Design agentic inspection flows for air-gapped fab environments, connecting data triage, model inference, review, root-cause analysis, and secure deployment constraints.
•Convert research into customer-ready semiconductor inspection products with evaluation, monitoring, and production deployment paths.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
•3+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
•Strong programming skills in Python and experience with PyTorch or TensorFlow.
•Experience developing or applying world models in computer vision for classification, detection, segmentation, or multimodal understanding.
•Familiarity with self-supervised, few-shot, weakly supervised, unsupervised, or domain adaptation approaches relevant to inspection problems.

Experience:3+ yearsSemiconductorAIComputer visionManufacturingIndustrial inspection

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowComputer visionMultimodal learningDomain adaptationAnomaly detection

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

1 month ago

Senior Systems Software Engineer, Semiconductor Systems Inspection

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and prototype AI system architectures for semiconductor defect inspection across optical/e-beam/wafer/mask inspection, metrology, and defect review workflows.
•Advance multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding for inspection systems.
•Integrate and enhance existing computer vision workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR with partners.
•Design agentic inspection flows for air-gapped fab environments, connecting data triage, model inference, review, root-cause analysis, and secure deployment constraints.
•Convert research into customer-ready semiconductor inspection products with evaluation, monitoring, and production deployment paths.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
•3+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
•Strong programming skills in Python and experience with PyTorch or TensorFlow.
•Experience developing or applying world models in computer vision for classification, detection, segmentation, or multimodal understanding.
•Familiarity with self-supervised, few-shot, weakly supervised, unsupervised, or domain adaptation approaches relevant to inspection problems.

Experience:3+ yearsSemiconductorAIComputer visionManufacturingIndustrial inspection

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowComputer visionMultimodal learningDomain adaptationAnomaly detection

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