AI-Driven Intern Software Engineer (Singapore)

Autodesk; Singapore; On-site; SGD 31,000 - 47,000; Full time

Job summary

Autodesk in Singapore is seeking a motivated student to join the Vault team’s Product Data Management (PDM) group. You will work with software engineers, product managers, designers, and AI practitioners to build reliable, scalable software and contribute to AI-assisted product development.

The role offers hands-on guidance, exposure to production-oriented projects, and opportunities to learn how complex systems evolve in a fast-paced environment.

Qualifications

• Currently enrolled in a Bachelor’s degree program with expected graduation date in 2027 or 2028.
• Proficiency in one or more programming languages listed above.
• Fundamental CS concepts and software design understanding.
• Experience building, testing, or debugging software through coursework or internships.
• Familiarity with version control and team-based development.

Responsibilities

• Contribute to design, implementation, testing, and documentation of software components and APIs.
• Collaborate with engineers to translate product needs into technical requirements.
• Investigate issues across services and data flows with mentorship.
• Write maintainable code with unit, integration, and end-to-end tests.
• Participate in code reviews, design discussions, and Agile planning.
• Use logs and metrics to evaluate system behavior and improve quality.
• Contribute to AI-assisted prototypes and developer tools.

Skills

Python

TypeScript

JavaScript

Java

C++

C#

Go

Git

Education

Bachelor's degree in Computer Science/Computer Engineering or related

Tools

Git

CI/CD

Job description

Autodesk in Singapore is seeking a motivated student to join the Vault team’s Product Data Management (PDM) group. You will work with software engineers, product managers, designers, and AI practitioners to build reliable, scalable software and contribute to AI-assisted product development.

The role offers hands-on guidance, exposure to production-oriented projects, and opportunities to learn how complex systems evolve in a fast-paced environment.