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Quantum Infrastructure Intern

IBMYorktown Heights, NYPosted 1 month ago

Pay
Not listed
The posting doesn't say
Type
Internship
Full time
Where
Yorktown Heights, NY
Experience
Students
None required
Apply by
Nov 28, 2026
Date from the posting

Job Description

As part of Quantum Operations, our mission is to build, maintain, and continuously elevate the foundational environment that enables the development and delivery of our Quantum solutions to customers. Our team brings together expertise across Security, Infrastructure, Reliability, Testing, and Performance to ensure our platform remains robust, scalable, and secure.

As a Site Reliability Engineer intern with IBM Quantum, you will help ensure the reliability, availability, and performance of software systems that support IBM Quantum systems, applications, and research platforms. In this role, you will work closely with security experts, infrastructure engineers, and operations teams to monitor system health, troubleshoot production issues, automate operational tasks, and maintain stable, scalable environments.

You will gain hands-on experience with cloud technologies, automation, observability, and site reliability engineering practices while contributing to the advancement of quantum computing technologies.

Required Qualifications

  • Currently pursuing a degree in Network Engineering, Computer Science, Information Technology, or a related field
  • Experience in programming Java
  • Experience in programming Python, including pandas, NumPy
  • Understanding of data structures in software applications
  • Experience with software tools such as VS Code, Jupyter notebooks, Git
  • Understanding of linear algebra, probability, statistics

Preferred Qualifications

  • Strong problem-solving skills and eagerness to learn new technologies
  • Good communication skills and ability to work collaboratively in a team
  • Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
  • Practical experience deploying and operating workloads on a major cloud provider (AWS, Azure, GCP, or IBM Cloud)
  • Strong understanding of containerization and orchestration technologies (Docker, Kubernetes)

Skills mentioned

  • NumPy
  • Pandas
  • Java
  • Python
  • GIT
  • CloudFormation
  • Terraform
  • VS Code
  • Jupyter
  • Pulumi

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