AI SW Infrastructure Engineer
Summary
MLOps-style engineer at Camtek (semiconductor inspection) in Migdal HaEmek who turns research ML models into optimized, production-ready components: integrating models, optimizing inference (TensorRT/ONNX, GPU), and building deployment/monitoring infrastructure using Python, PyTorch, and C++/C#.
About Camtek
Camtek is a global leader in high-end inspection and metrology equipment for the semiconductor industry. Our systems play a critical role in wafer inspection and measurement throughout production processes. With a strong focus on advanced scanning technologies, we drive innovation in semiconductor manufacturing, supported by a global sales and customer service network.
We are looking for an AI SW Infrastructure Engineer to design, build, and maintain scalable AI software infrastructure that supports advanced machine learning applications.
Responsibilities:
- Develop and maintain robust AI software infrastructure.
- Collaborate with cross-functional teams to integrate AI solutions.
- Optimize system performance and reliability.
- Implement security best practices for AI systems.
- Troubleshoot and resolve infrastructure-related issues.
- Automate deployment processes and workflows.
- Document infrastructure designs and procedures.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Minimum of 3 years of experience in software infrastructure engineering.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Strong understanding of AI and machine learning frameworks.
- Familiarity with containerization tools like Docker and Kubernetes.
- Excellent problem-solving and analytical skills.
