Software Development Engineer Intern - PSET Localization

About the role

The Localization team at Autodesk is looking for a motivated and curious Cloud, AI and Automation intern. You will help build cloud-native services, AI-enabled solutions and intelligent automation, working on secure, resilient and scalable systems. The internship runs from 11 January to 25 June 2027, with an on-site recruitment drive starting 9 October and ending 6 November 2026.

Key responsibilities

• Support the design, development, implementation and operation of cloud and AI-enabled solutions.
• Help design, develop, test and deploy cloud-native services, APIs, scripts and automation tools.
• Develop automation solutions to improve engineering and operational efficiency.
• Prototype AI/ML and Generative AI solutions for engineering and localization use cases.
• Use AI-assisted development tools for coding, testing, debugging, documentation and automation.
• Explore Large Language Models, APIs and AI agents/workflows to solve practical engineering problems.
• Support the integration of cloud services, APIs, AI capabilities and automation frameworks.
• Collaborate with teammates to find ways AI and automation can simplify existing processes.
• Monitor, troubleshoot and improve cloud services and automated workflows.
• Contribute to automated testing, observability, security and resiliency improvements.
• Take part in technical discussions, design reviews, documentation and knowledge sharing.

Required profile

• Currently enrolled in a Bachelor's degree in Computer Science, Computer Engineering or a related field, graduating in 2027 or 2028.
• Foundational knowledge of at least one programming or scripting language such as Python, Java or JavaScript.
• Basic understanding of software development concepts and exposure to cloud technologies.
• Interest in AI/ML, Generative AI, cloud computing and automation.
• Strong analytical, problem-solving and learning skills, and ability to work in a diverse team.

Required skills

• Preferred: Python, Java, JavaScript, Node.js, Angular
• Preferred: AWS, AWS Lambda, Amazon S3, API Gateway
• Preferred: LLMs, prompt engineering, Claude, Cursor
• Preferred: SQL, Amazon RDS, Amazon DynamoDB, Snowflake
• Preferred: Docker, CI/CD, Git, infrastructure automation, monitoring and DevOps practices