Description
As an AI SW Infrastructure Engineer, you will bridge the gap between research and production. Your primary responsibility will be to take machine learning models and algorithms developed by the Algorithms/Research teams and transform them into robust, optimized, and scalable components within Camtek’s production systems.
You will focus on model optimization, software integration, and deployment, ensuring that AI solutions perform efficiently in real-world high-throughput environments. This role requires strong software engineering skills combined with a deep understanding of ML workflows and performance considerations.
Key Responsibilities
- Integrate AI/ML models developed by research teams into production systems
- Optimize model performance for runtime, memory, and inference efficiency (e.g., TensorRT, ONNX)
- Adapt research-grade code into scalable, maintainable, and production-ready software
- Collaborate with Algorithms, Software, and System teams to ensure seamless end-to-end integration
- Improve inference pipelines and system performance in real-world environments
- Develop and maintain infrastructure for deploying and monitoring AI models in production