Software Engineering Intern

Emerson•Austin, TX

About The Position

Emerson Test & Measurement is seeking a Software Engineering Intern interested in DevOps and AI to join a Software Research & Development team. The team builds CI/CD pipelines, cloud infrastructure, and AI-enabled tooling used by engineering teams across the business. The intern will work alongside experienced engineers to automate, test, and deploy solutions that help deliver high-quality products to customers around the world. The role involves improving CI/CD pipelines and release automation, developing tools to automate engineering workflows, supporting AI/ML-enabled tooling, helping manage cloud and on-premises infrastructure with infrastructure-as-code practices, and investigating build, test, and deployment failures. The intern will also participate in Agile planning, code reviews, and technical documentation. Emerson describes a culture centered on valuing, respecting, and empowering employees; innovation, collaboration, inclusion, and integrity; and ongoing career development through mentorship, training, and leadership opportunities.

Requirements

  • 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 now or in the future.

Nice To Haves

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

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.
  • Help manage cloud and on-premises infrastructure using infrastructure-as-code practices.
  • Investigate build, test, and deployment failures and implement durable fixes.
  • Participate in Agile planning, code reviews, and technical documentation.

Benefits

  • Mentorship, training, and leadership opportunities for career development.
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