Intern - AI Engineer Platform
Micron Technology Inc
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Department Overview
The AI Engineering Platform team builds and operates the cloud infrastructure, platforms, and automation capabilities that power Micron's analytics, machine learning, and AI workloads. By using cloud-native technologies, Kubernetes, Infrastructure as Code (IaC), and AI-enabled solutions, the team delivers scalable, secure, and reliable platforms that accelerate innovation and engineering productivity across the enterprise.Position Overview
As a Platform Engineering Intern, you will work alongside experienced engineers to support the infrastructure and platforms that enable AI, analytics, and cloud-based solutions at Micron. You will gain hands-on experience with cloud technologies, Kubernetes, automation, Infrastructure as Code, AI-enabled tools, and platform operations while contributing to real-world projects that improve scalability, reliability, and engineering efficiency.Responsibilities
- Support cloud platform, Kubernetes, and infrastructure projects while collaborating with global platform engineering teams.
- Develop scripts, automation tools, dashboards, and monitoring solutions that improve platform reliability, operational visibility, and resource utilization.
- Assist with platform support, operational activities, and customer requests while learning enterprise platform engineering protocols.
- Evaluate emerging technologies, build proof-of-concept solutions, and contribute to platform improvements related to cloud infrastructure, AI, and automation.
- Develop and leverage AI-powered tools and agentic workflows to improve engineering productivity, operational efficiency, and decision-making.
Minimum Qualifications
- 0-2 years of relevant experience through coursework, academic projects, personal projects, hackathons, or internships in software development, cloud computing, infrastructure, or platform engineering.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field.
- Experience programming in Python, Go, Java, Bash, or similar languages.
- Familiarity with Linux/Unix systems, cloud computing concepts, and modern software development fundamentals.
- Strong problem-solving, communication, teamwork, and analytical skills with demonstrated interest in Kubernetes, Infrastructure as Code (Terraform), AI platforms, Generative AI, and Agentic AI technologies.
Preferred Qualifications
- Experience with Kubernetes, Docker, Terraform, or cloud platforms through coursework, projects, certifications, or internships.
- Familiarity with Git, version control systems, CI/CD pipelines, and infrastructure automation practices.
- Knowledge of AI/ML platforms, machine learning frameworks, data pipelines, SQL, or analytics technologies.
- Experience building automation tools, AI-assisted workflows, dashboards, monitoring solutions, or cloud-native applications.
- Interest in pursuing a career in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering (SRE), or AI Infrastructure.
$159.1k - $224.1k
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