# Senior Systems Software Engineer, Semiconductor Systems Inspection

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer--Semiconductor-Systems-Inspection_JR2019816-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_843fdc16-527

## Description

NVIDIA is seeking a Senior Systems Software Engineer to develop AI products for semiconductor analysis. The role involves creating production-ready models and inference pipelines for semiconductor manufacturing projects, focusing on computer vision, multimodal AI, anomaly detection, model compression, and deployment optimization.

**Key Responsibilities:**

- Define and prototype AI system architectures for semiconductor defect inspection.

- Advance WFM capabilities for semiconductor inspection, including multimodal representation learning and model adaptation.

- Integrate and enhance existing computer vision and multimodal inspection workflows.

- Design agentic inspection flows for air-gapped fab environments.

- Improve model quality and fab decision support using semiconductor metrology and inspection context.

- Address noisy, limited, and shifting fab data.

- Convert research into customer-ready semiconductor inspection products.

- Partner with 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.

- 3+ years of experience in deep learning, machine learning, computer vision, or applied AI.

- Strong programming skills in Python and experience with modern deep learning frameworks.

- Experience with foundational world models in computer vision.

- Familiarity with self-supervised, few-shot, weakly supervised, unsupervised, or domain adaptation approaches.

- Strong analytical, communication, and cross-functional collaboration skills.

**Preferred Qualifications:**

- Experience with semiconductor inspection, industrial visual inspection, or manufacturing AI.

- Knowledge of NVIDIA software and deployment tools.

- Experience building end-to-end pipelines for production settings.

NVIDIA offers a competitive salary package and benefits.

## Skills

### Required
- Python
- deep learning
- machine learning
- computer vision
- applied AI
- PyTorch
- TensorFlow
- multimodal representation learning
- model adaptation
- domain transfer

### Nice to have
- semiconductor inspection
- industrial visual inspection
- manufacturing AI
- metrology
- defect review workflows
- anomaly detection
- anomaly generation
- knowledge distillation
- model compression
- quantization
- pruning
- deployment optimization
- NVIDIA software and deployment tools

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Systems-Software-Engineer--Semiconductor-Systems-Inspection_JR2019816-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)