Software Engineer Intern

As an intern at ResMed, you’ll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things.

Over the course of our 12-week internship experience you will have the opportunity to:

• Work directly with a mentor in your field of study while finding solutions to real world problems
• Experience our products up close by working with one of our Digital Health Technologies teams
• Interact directly with our company leaders
• Build a lasting professional network through social events and engaging activities
• Gain the skills and knowledge to become a future leader in the medical technology industry

Let’s Talk about Responsibilities:

Cloud & Serverless Development

• Assist in building and deploying AWS Lambda functions
• Help configure and integrate API Gateway endpoints
• Work with DynamoDB and S3 for data storage
• Support infrastructure setup under supervision (CDK / CloudFormation exposure preferred)
• Participate in debugging, monitoring, and logging in cloud environments

Backend Development (.NET)

• Develop and maintain backend APIs using C# and .NET
• Implement business logic under guidance
• Write unit tests for backend services
• Assist with API validation and data transformations

AI & Automation

• Support implementation of AI agents or AI-driven workflows
• Integrate LLM APIs into backend systems
• Assist in building prompt-driven workflows and agent orchestration patterns
• Evaluate and experiment with AI tools for internal automation

Engineering Best Practices

• Follow secure coding practices
• Participate in code reviews
• Write technical documentation
• Collaborate in sprint planning and retrospectives
• Learn and apply CI/CD principles

Basic Qualifications (Required Skill/Experience):

• Ability to work full-time for 12 weeks during Summer 2026; program dates are May 18th – August 7th, 2026, OR June 15th – September 4th, 2026. Preference for Cohort B.
• Currently pursuing Bachelor’s Degree in Computer Science, Software Engineering or related.
• Hands-on experience with: C# / .NET, REST APIs, Git
• Exposure to AWS (even academic projects or labs acceptable)
• Demonstrated experience or strong interest in: AI agents, LLM-based applications, Prompt engineering or AI API integration
• Strong analytical and problem-solving skills
• Ability to work in a collaborative team environment

Preferred Qualifications (Desired Skills/Experience):

• Experience with AWS: Lambda, API Gateway, DynamoDB, S3
• Familiarity with Infrastructure as Code (CDK, Terraform, CloudFormation)
• AWS Cloud Practitioner certification
• Experience building: AI-powered applications, Automation bots, Conversational AI tools
• Understanding of authentication concepts (JWT, OAuth basics)