NVIDIA is seeking a Sr. Software Engineer specializing in systems inspection to develop next-generation AI products for semiconductor analysis in Santa Clara. The role focuses on redefining technical approaches into production-ready models and inference pipelines for semiconductor manufacturing projects. The team is tasked with addressing challenges in computer vision, multimodal AI, and anomaly detection while ensuring model quality and production readiness. This position is crucial for accelerating the development of deployable AI products in a high-impact core team environment.

• 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.

• Define and prototype AI system architectures for semiconductor defect inspection across various workflows.
• Advance WFM capabilities for semiconductor inspection, including multimodal representation learning and model adaptation.
• Work with partners to integrate and enhance existing computer vision and multimodal inspection workflows.
• Design agentic inspection flows for air-gapped fab environments, ensuring secure deployment constraints.
• Use semiconductor metrology and inspection context to improve model quality and fab decision support.
• Address noisy, limited, and shifting fab data through various calibration and augmentation techniques.
• Convert research into customer-ready semiconductor inspection products with clear evaluation and deployment paths.
• Collaborate with cross-functional teams to define roadmap priorities for next-generation semiconductor AI inspection systems.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.