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This listing doesn't post a salary. Most similar roles pay
$142,817–$214,000.
Based on 240 similar postings.
Employer
About Micron Technology
Micron Technology is a global leader in innovative memory and storage solutions including DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications. Industry: Semiconductor Memory & Storage
Micron Technology currently has
63 open roles
on FindRole.
The AI Engineer joins the Industrial and Physical AI team to develop and deploy AI-powered applications supporting Autonomous Operations initiatives within semiconductor manufacturing. This early-career role involves building end-to-end solutions including data pipelines, feature engineering, model inference, APIs, and user interfaces. The engineer will integrate Generative AI technologies, such as LLMs and agentic workflows, into manufacturing processes while collaborating on robotics platforms, autonomous mobile robots, and manufacturing execution systems. Key technologies include Python, FastAPI, React, Angular, Streamlit, and SQL. Candidates must utilize Docker, Kubernetes, OpenShift, and GitHub Actions for containerized deployment and CI/CD. The work focuses on implementing monitoring, drift detection, and Responsible AI standards to solve complex industrial automation problems and ensure reliable, scalable AI performance in high-reliability production environments.
What does a AI Engineer earn?
Median $211200 from 126 postings across 36 companies.
Design and develop end-to-end AI applications including data pipelines, model inference, APIs, and user interfaces.
Build responsive front-end applications using React, Angular, or Streamlit and backend services with Python and FastAPI.
Integrate Generative AI technologies, including LLMs and agentic workflows, into manufacturing and operational processes.
Integrate AI solutions with robotics platforms, autonomous mobile robots, and manufacturing execution systems.
Deploy and manage containerized applications using Docker, Kubernetes, OpenShift, and CI/CD pipelines.
Implement monitoring, drift detection, and feedback mechanisms to ensure reliable AI performance in production.
Apply Responsible AI standards including security, audit logging, model governance, and performance optimization.
What we're looking for
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
2+ years of experience developing and deploying production software applications, AI solutions, or related technologies.
Proficiency in Python and modern JavaScript/TypeScript development.
Experience working with SQL and relational database technologies.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
Experience using Docker, Kubernetes, and CI/CD pipelines to deploy and manage applications.
Working knowledge of Generative AI concepts, including prompt engineering, RAG, function/tool calling, agentic workflows, and AI model evaluation practices.
Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (preferred).