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Senior AI Infrastructure Engineer
On-siteFull-timeAI EngineeringSemiconductor Equipment
Join an industrial technology company developing semiconductor inspection and manufacturing solutions. Bridge research and production by integrating, optimizing, deploying, and monitoring machine learning models in high-throughput systems.
Responsibilities
- Integrate AI and machine learning models from research teams into production systems
- Optimize model runtime, memory usage, and inference efficiency
- Convert research code into scalable, maintainable, production-ready software
- Improve inference pipelines and end-to-end system performance
- Develop infrastructure for deploying and monitoring production AI models
- Collaborate with algorithm, software, and systems teams on end-to-end integration
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
- At least 3 years of hands-on experience in machine learning and software infrastructure development
- Strong Python and PyTorch programming skills
- Experience with C++ or C#
- Experience working in Linux and Windows environments and using Git
- Strong understanding of multithreading and performance optimization
- Experience implementing and integrating algorithms into production systems
- Strong analytical, problem-solving, collaboration, communication, and documentation skills
- Ability to work independently and drive tasks to completion
Nice to have
- Experience with computer vision pipelines and image data processing
- Hands-on experience with TensorRT and ONNX
- Familiarity with CUDA and GPU optimization
- Experience deploying machine learning models in production
- Familiarity with CI/CD pipelines
- Experience with MLOps tools such as MLflow or Kubeflow
- Experience with generative models, including diffusion models