Lead AI Systems Engineer, Semiconductor Inspection

NVIDIA; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Principal Software Engineer for Systems Inspection in Santa Clara to scale AI-based semiconductor defect inspection across optical and e-beam modalities, wafer and mask inspection, metrology, and defect-review workflows.

You will push research into production-ready solutions, collaborate across teams, and improve model quality, robustness, and deployment readiness in demanding industrial environments.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, 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 PyTorch or TensorFlow.
• Experience developing or applying world models in CV for classification, detection, segmentation, anomaly detection, or multimodal understanding.
• Record of technical leadership in domain-adaptation approaches for inspection problems.
• Strong analytical, communication, and cross-functional collaboration skills.

Responsibilities

• Define and prototype AI system architectures for semiconductor defect inspection across multiple inspection modalities.
• Advance multimodal representation learning and domain transfer for data-scarce defect understanding.
• Collaborate with customers and internal teams to integrate CV and multimodal workflows for detection, classification, localization, and segmentation.
• Design agentic inspection flows for air-gapped fab environments with secure deployment constraints.
• Apply metrology and defect-review context to improve model quality and fab decision support.
• Address noisy, limited fab data via calibration, domain shift mitigation, and synthetic defect generation.
• Turn research into customer-ready inspection products with evaluation, failure analysis, monitoring, and deployment strategies.
• Work with research, software, process, metrology, inspection, review, and hardware teams to set priorities for next-gen systems.

Skills

Systems design

Architecture

Software development

Python

Deep learning frameworks (PyTorch/TF)

Cross-functional collaboration

Domain adaptation leadership

Education

MS/PhD in CS/EE/CE or related field

Tools

PyTorch

TensorFlow

TensorRT

CUDA

cuDNN

Triton

DeepStream

TAO Toolkit

RAPIDS

Job description

NVIDIA seeks a Principal Software Engineer for Systems Inspection in Santa Clara to scale AI-based semiconductor defect inspection across optical and e-beam modalities, wafer and mask inspection, metrology, and defect-review workflows.

You will push research into production-ready solutions, collaborate across teams, and improve model quality, robustness, and deployment readiness in demanding industrial environments.