Principal Systems Software Engineer, Semiconductor Systems Inspection

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Software EngineeringEducation: mastersSkills: ["Technical leadership","Analytical skills","Communication","Cross-functional collaboration"]

Develop production-ready AI systems for semiconductor defect inspection, turning research into deployable products for real manufacturing constraints. Define system architectures across optical and e-beam inspection and advance WFM capabilities such as multimodal representation learning, domain transfer, and data-scarce defect understanding. Build secure, air-gapped inspection flows that combine inference, review assistance, and root-cause analysis, improving model quality, robustness, and operational readiness through evaluation and monitoring.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Principal Systems Software Engineer, Semiconductor Systems Inspection

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Develop production-ready AI systems for semiconductor defect inspection, turning research into deployable products for real manufacturing constraints. Define system architectures across optical and e-beam inspection and advance WFM capabilities such as multimodal representation learning, domain transfer, and data-scarce defect understanding. Build secure, air-gapped inspection flows that combine inference, review assistance, and root-cause analysis, improving model quality, robustness, and operational readiness through evaluation and monitoring.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Define and prototype AI system architectures for semiconductor defect inspection across multiple inspection modalities and workflows.
  • •Advance WFM capabilities for inspection, including multimodal representation learning, model adaptation, and domain transfer for data-scarce defect understanding.
  • •Partner with customers and internal teams to integrate and improve computer vision and multimodal workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR.
  • •Design agentic inspection flows for air-gapped fab environments that connect data triage, model inference, review assistance, root-cause analysis, human approval, and secure deployment constraints.
  • •Turn research into customer-ready semiconductor inspection products, covering evaluation, failure analysis, monitoring, optimization, and production deployment.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or related, or equivalent experience.
  • •15+ years of proven experience in systems design, architecture, and software development.
  • •4+ years of current experience in deep learning, machine learning, computer vision, or applied AI.
  • •Strong Python skills and experience with modern deep learning frameworks such as PyTorch or TensorFlow.
  • •Experience applying technical leadership to domain-adaptation approaches relevant to inspection problems.
Experience:Semiconductor inspectionManufacturing AIIndustrial visual inspectionComputer visionMultimodal AIAnomaly detectionDomain adaptationData-scarce ML
Education:Master's
Skills:Technical leadershipAnalytical skillsCommunicationCross-functional collaboration
Tech Stack:PythonPyTorchTensorFlowTensorRTCUDACuDNNTritonDeepStreamTAO ToolkitRAPIDS

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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