Software Engineering Intern

Emerson

Austin, TXFresher1h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year · Bachelor's degree
Must know
PythonC
Nice to have
CI/CDMachine learningAgileGit
Work
On-site in Austin · internship
Pay
Not stated by the employer.
Listed
Oct 29, 2026 · still open

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About the Role

Emerson Test & Measurement is seeking a Software Engineering Intern interested in DevOps and AI. You will join a Software Research & Development team responsible for building CI/CD pipelines, cloud infrastructure, and AI-enabled tooling. You will collaborate with experienced engineers to automate, test, and deploy solutions.

Key Responsibilities

  • Build and improve CI/CD pipelines, build systems, and release automation.
  • Develop scripts, services, and tooling to automate manual engineering workflows.
  • Support AI/ML-enabled tooling, including prototyping, integration, and evaluation of results.
  • Assist in managing cloud and on-premises infrastructure using infrastructure-as-code practices.
  • Investigate build, test, and deployment failures and implement fixes.
  • Participate in Agile planning, code reviews, and technical documentation.

Requirements & Tech Stack

  • Currently pursuing a bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Experience programming or scripting in Python, C#, or a similar language.
  • Familiarity with source control and automated builds or testing.
  • Interest in DevOps practices, cloud platforms, and applied AI/ML tooling.
  • Authorized to work in the United States without sponsorship.

Preferred Qualifications

  • Hands-on experience with CI/CD tooling (e.g., Azure DevOps, GitHub Actions, Jenkins).
  • Exposure to containers, orchestration, or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).
  • Experience with cloud services on AWS / Azure and Linux environments.
  • Coursework or projects involving machine learning, LLMs, or AI-assisted development tools.
  • Experience working in an Agile or Scrum environment.

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