Senior Systems Software Engineer, Semiconductor Systems Inspection

About the role

NVIDIA is seeking a Senior Software Engineer specializing in systems inspection to develop the next generation of AI products for semiconductor analysis. The immediate focus is on expanding operational capacity in a strategic area, developing AI products, and delivering practical systems within tight deployment budgets.

Responsibilities

• Define and prototype AI system architectures for semiconductor defect inspection across optical inspection, e-beam inspection, wafer and mask inspection, metrology, and defect review workflows.
• Advance WFM capabilities for semiconductor inspection, including multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding.
• Work with partners to integrate and enhance existing computer vision and multimodal inspection workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR.
• Create agentic inspection flows for air-gapped fab environments, connecting data triage, model inference, review assistance, root-cause analysis, human approval, and secure deployment constraints.
• Utilize semiconductor metrology, inspection, review, and process context, including CD, LER, LWR, overlay, wafer maps, defect maps, SPC signals, and yield signals, to improve model quality and fab decision support.
• Collaborate with partners to address noisy, limited, and shifting fab data, including tool-to-tool calibration, domain-shift mitigation, synthetic defect generation, noise simulation, and augmentation.
• Convert research into customer-ready semiconductor inspection products with clear evaluation, failure analysis, monitoring, optimization, and production deployment paths.
• Partner with research, software, process, metrology, inspection, review, and hardware teams to define roadmap priorities for next-generation semiconductor AI inspection systems.

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 modern deep learning frameworks such as PyTorch or TensorFlow.
• Experience developing or applying foundational world models in computer vision for classification, detection, segmentation, anomaly detection, or multimodal understanding.
• Familiarity with self-supervised, few-shot, weakly supervised, unsupervised, or domain adaptation approaches relevant to inspection problems.
• Strong analytical, communication, and cross-functional collaboration skills.

Qualifications

• Experience with semiconductor inspection, industrial visual inspection, manufacturing AI, metrology, or defect review workflows.
• Experience with knowledge distillation, model compression, quantization, pruning, or deployment optimization for edge or production environments.
• Background in anomaly detection or anomaly generation, especially in domains with unusual labels and shifting visual distributions.
• Familiarity with NVIDIA software and deployment tools such as TensorRT, CUDA, cuDNN, Triton, DeepStream, TAO Toolkit, or RAPIDS.
• Experience building end-to-end pipelines that span data curation, training, evaluation, export, and inference in production settings.

Skills

• Experience with semiconductor inspection, industrial visual inspection, manufacturing AI, metrology, or defect review workflows.
• Experience with knowledge distillation, model compression, quantization, pruning, or deployment optimization for edge or production environments.
• Background in anomaly detection or anomaly generation, especially in domains with unusual labels and shifting visual distributions.
• Familiarity with NVIDIA software and deployment tools such as TensorRT, CUDA, cuDNN, Triton, DeepStream, TAO Toolkit, or RAPIDS.
• Experience building end-to-end pipelines that span data curation, training, evaluation, export, and inference in production settings.

Benefits

Competitive salary package and benefits are offered. Applications for this job will be accepted at least until June 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.