Intern, Software Engineer [PDMS-DPM-Engineering]

Autodesk, Inc.; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Autodesk, Inc. in Singapore is seeking an undergraduate software engineering intern to join the Vault team’s Product Data Management efforts. You will work with engineers, PMs, designers, and AI practitioners to build reliable, scalable software and prototype AI-assisted workflows.

The on-site recruitment drive runs from 9 October to 6 November 2026. You will design, implement, test, and document components, learn to translate product needs into technical requirements, and contribute to

Qualifications

• Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, with an expected graduation date in 2027 or 2028.
• Proficiency in one or more programming languages, such as Python, TypeScript, JavaScript, Java, C++, C#, or Go.
• Understanding of core computer science concepts, including data structures, algorithms, object-oriented or functional programming, and software design.
• Experience building, testing, or debugging software through coursework, personal projects, research, hackathons, open-source contributions, self-directed learning, or prior internships.
• Familiarity with version control concepts and a willingness to learn team-based development practices using Git.
• Strong problem-solving, communication, and collaboration skills.
• Curiosity and willingness to learn unfamiliar technologies, systems, and product domains.

Responsibilities

• Contribute to the design, implementation, testing, and documentation of software components, APIs, or internal developer tools, with guidance from the team.
• Collaborate with engineers and cross-functional partners to translate product needs into clear technical requirements.
• Investigate technical issues across services, data flows, dependencies, and user experiences with support from mentors and teammates.
• Write maintainable code with appropriate unit, integration, and end-to-end tests.
• Participate in code reviews, technical design discussions, Agile planning, and team retrospectives.
• Use logs, metrics, dashboards, and user feedback to evaluate system behavior and improve product quality.
• Contribute to prototypes and experiments involving AI-assisted workflows, data products, or intelligent developer tools.
• Communicate findings, tradeoffs, risks, and recommendations clearly to technical and non-technical audiences.

Skills

Python

TypeScript

JavaScript

Java

C++

C#

Go

Education

Bachelor's degree in CS/CE

Tools

Git

Job description

Job Requisition ID # 26WD101277

Position Overview

The Vault team is looking for a motivated individual to join our Product Data Management (PDM) team in Singapore. In this role, you will work alongside software engineers, product managers, designers, and AI practitioners to develop reliable, scalable, and well-instrumented software. You will contribute to production-oriented projects, learn how complex systems evolve, and help the team explore new approaches to AI-assisted product development.

The on-site, in-person recruitment drive will run from 9 October to 6 November 2026.

Responsibilities

• Contribute to the design, implementation, testing, and documentation of software components, APIs, or internal developer tools, with guidance from the team
• Collaborate with engineers and cross-functional partners to learn how product needs are translated into clear technical requirements
• Investigate technical issues across services, data flows, dependencies, and user experiences with support from mentors and teammates
• Write maintainable code with appropriate unit, integration, and end-to-end tests
• Participate in code reviews, technical design discussions, Agile planning, and team retrospectives
• Use logs, metrics, dashboards, and user feedback to evaluate system behavior and improve product quality
• Contribute to prototypes and experiments involving AI-assisted workflows, data products, or intelligent developer tools
• Communicate findings, tradeoffs, risks, and recommendations clearly to technical and non-technical audiences

Minimum Qualifications

• Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, with an expected graduation date in 2027 or 2028
• Proficiency in one or more programming languages, such as Python, TypeScript, JavaScript, Java, C++, C#, or Go
• Understanding of core computer science concepts, including data structures, algorithms, object-oriented or functional programming, and software design
• Experience building, testing, or debugging software through coursework, personal projects, research, hackathons, open-source contributions, self-directed learning, or prior internships
• Familiarity with version control concepts and a willingness to learn team-based development practices using tools such as Git
• Strong problem-solving, communication, and collaboration skills
• Curiosity and willingness to learn unfamiliar technologies, systems, and product domains

Preferred Qualifications

• Interest in or exposure to cloud services, distributed systems, APIs, databases, data pipelines, or event-driven architectures
• Familiarity with SQL, data modeling, analytics tools, or data quality practices
• Interest in automated testing, code quality, or continuous integration and delivery workflows
• Curiosity about machine learning, generative AI, large language models, retrieval systems, agents, or AI application development. Exposure through coursework, projects, reading, experimentation, or prior work is considered helpful
• Interest in learning how to define technical specifications, acceptance criteria, evaluation metrics, or experiment plans
• Curiosity about how teams use logging, monitoring, tracing, and performance analysis to understand and improve software systems
• Interest in CAD, manufacturing, product design, engineering software, or developer platforms

Benefits

• How data platforms and services support complex, cloud-connected product experiences
• How production software is designed, reviewed, tested, deployed, monitored, and improved
• How teams define requirements and evaluate quality for AI-enabled products
• How to balance user needs, technical constraints, system reliability, and delivery speed
• How engineers collaborate across product, design, data, and research disciplines

#LI-AA1 Learn More About Autodesk

Our Culture

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 our 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 - its 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!

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 our 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 - its 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.