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Intern, Software Development Engineer [PSET-Localization]

Autodesk
Singapore, SGP Posted Sep 25, 2026
On-site

About this role

Intern, Software Development Engineer [PSET-Localization]

Position Overview

The localization team is looking for a motivated, technically curious intern to join us for a 6-month internship. You will work with localization, language, and software engineering professionals on two key areas:

  • Machine Translation (MT): improving translation quality, evaluation, and engineering workflows.
  • Continuous Localization (CL): helping modernize our cloud-based localization platform and automation infrastructure.

You’ll gain hands-on experience solving real-world localization engineering problems involving AI/ML, Python, cloud technologies, automation, and multilingual data.

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

Responsibilities

  • Machine Translation & Quality

  • Investigate translation quality and workflow issues and help test improvements

  • Evaluate MT quality using automated metrics and multilingual test data

  • Support data analysis, testing, and automation for translation quality

  • Explore applications of NLP, Generative AI, and Large Language Models in localization

  • Collaborate with localization, language, and engineering teams and document findings

  • Continuous Localization & Cloud Engineering

  • Contribute to the development and testing of cloud-native localization workflows on AWS

  • Develop Python services, automation scripts, and integrations with APIs and GitHub

  • Work with event-driven technologies, containers, and AWS services

  • Support automated testing, monitoring, troubleshooting, and production readiness

  • Help improve the scalability, reliability, and efficiency of localization workflows

  • Minimum Qualifications

  • Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, or a related field, graduating in 2027 or 2028

  • Programming or scripting knowledge, preferably Python

  • Basic understanding of software development, APIs, data structures, and debugging

  • Some exposure to areas such as Machine Learning, NLP, cloud computing, or distributed systems

  • Familiarity with Git or another source-control system

  • Strong analytical and problem-solving skills and an interest in localization, AI, and cloud technologies

  • Internship duration: 11 January - 25 June 2027, 6 months full time internship

  • Preferred Qualifications

  • Python, data processing, or automated testing.

  • Machine Learning, NLP, Machine Translation, Generative AI, or LLMs.

  • AWS, Docker, serverless or event-driven architectures.

  • REST APIs, webhooks, GitHub APIs, or CI/CD.

  • Multilingual data or languages other than English.

  • Learning Benefits

  • Work with production-scale Machine Translation and Continuous Localization systems

  • Gain practical experience with AI/ML, NLP, Generative AI, and multilingual data

  • Build cloud-native and event-driven services using Python and AWS

  • Learn production engineering practices including testing, monitoring, debugging, and failure recovery

  • Experience the engineering lifecycle from investigation and prototyping through testing and production readiness

  • Collaborate with localization, language, and engineering teams across multiple locations

  • About Autodesk

  • With Autodesk software, you have the power to Make Anything. The future of making is transforming how things are designed, made, and used across architecture, engineering, construction, manufacturing, and media and entertainment.

  • 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.

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