Job Requisition ID #

26WD100997

Position Overview

The Localization team is seeking a motivated and curious Cloud, AI & Automation Intern to join our dynamic team. In this role, you will contribute to the development of cloud-native services, AI-enabled solutions, and intelligent automation, with a focus on building secure, resilient, scalable, and efficient systems.

This internship provides a unique opportunity to gain hands-on experience with cloud technologies, Generative AI and AI-assisted software development, automation, and modern DevOps practices. You will work alongside experienced professionals, contribute to real-world engineering projects, and explore how emerging AI technologies can improve software development, localization workflows, automation, and cloud operations.

On-site in-person recruitment drive starts from 9 October - 6 November 2026

Responsibilities

As part of the team, you will support the design, development, implementation, and operation of cloud and AI-enabled solutions.

Assist in the design, development, testing, and deployment of cloud-native services, APIs, scripts, and automation tools
Develop automation solutions to improve engineering and operational efficiency
Explore and prototype AI/ML and Generative AI solutions for engineering and localization use cases
Use AI-assisted development tools to support coding, testing, debugging, documentation, and automation
Explore the use of Large Language Models (LLMs), APIs, and AI agents/workflows to solve practical engineering problems
Support the integration of cloud services, APIs, AI capabilities, and automation frameworks
Collaborate with team members to identify opportunities where AI and automation can simplify or improve existing processes
Monitor, troubleshoot, and improve existing cloud services and automated workflows
Contribute to automated testing, observability, security, and resiliency improvements
Participate in technical discussions, design reviews, documentation, and knowledge-sharing activities
Learn and apply modern DevOps, cloud security, responsible AI, and software engineering best practices

Minimum Qualifications

Currently enrolled in a Bachelor's degree program 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
Ability to explore unfamiliar technologies and independently learn new concepts
Ability to collaborate effectively in a diverse team environment
Internship period: 11 January - 25 June 2027 (fixed dates)

Preferred Qualifications

Programming & Development: Python, Java, JavaScript, Node.js, Angular
Cloud & Serverless: AWS, AWS Lambda, Amazon S3, API Gateway, and other AWS services
Generative AI & AI-Assisted Development: Large Language Models (LLMs), prompt engineering, Claude, Cursor, or similar AI development tools
AI/ML: Basic understanding of machine learning, Generative AI, embeddings, Retrieval-Augmented Generation (RAG), or AI agents/workflows
Databases & Data Platforms: SQL, Amazon RDS, Amazon DynamoDB, Snowflake
Containers & DevOps: Docker, CI/CD, Git, infrastructure automation, monitoring, and DevOps practices
Interest in exploring emerging technologies and applying AI, automation, and cloud-native approaches to real-world engineering challenges

Learning Benefits

During the internship, you will have opportunities to:

Gain practical experience developing secure, scalable, and resilient cloud-native solutions
Build practical understanding of Generative AI, LLMs, AI agents, and AI-enabled automation
Learn how AI can be integrated responsibly into software engineering, localization, and operational workflows
Gain experience using AI-assisted development tools for coding, testing, debugging, documentation, and prototyping
Learn and apply modern DevOps and cloud engineering practices
Gain hands-on experience with technologies such as AWS, Lambda, Docker, APIs, databases, and automation frameworks
Learn about cloud monitoring, security, resiliency, automation, and operational excellence
Experiment with emerging technologies through prototypes and proof-of-concept projects
Work in a multicultural and technically diverse environment with colleagues across multiple geographic locations
Collaborate with experienced engineers and gain exposure to real-world software engineering and cloud projects

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Intern, Software Development Engineer