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Senior AI Infrastructure Engineer
PresencialTiempo completoAI 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.
Responsabilidades
- 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
Requisitos
- 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
Se valora
- 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