Intern, Software Development Engineer [PSET-Localization]

Location: Singapore, SGP

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.

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

#LI-AA1

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.