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Intern, Software Engineer

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Onsite

Intern, Software Engineer

Internship

Intern, Software Engineer

Skills

Data EngineeringData ScienceAISalesforce

6 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

14 October 2026

What they need


Get to Know the Team

The Commercial Systems team builds and operates software and data systems that support Grab's commercial operations. The team manages Salesforce and develops applications, integrations, and workflow solutions in partnership with business, product, and engineering teams. Its work helps commercial teams manage partner interactions and day-to-day processes.

Get to Know the Role

As a Software Engineer Intern, you will contribute to engineering projects in one of five areas: Backend Engineering, Full-Stack Engineering, Data Engineering, Data Science, or AI Automation.

Your work will depend on your assigned track and may include developing and testing software, data pipelines, or automation solutions. You will report to an Engineering Manager and work onsite at Grab's One North office in Singapore.

The internship will give you practical experience applying your technical foundations to team projects, with opportunities to learn through collaboration and code reviews. If you're ready to apply your skills to real engineering work, we encourage you to apply.

The Critical Tasks You Will Perform

  • You will design and develop applications, services, data pipelines, or automation solutions aligned with your assigned engineering track.
  • You will work with Product Managers, Designers, and Engineers to clarify requirements and translate them into scoped technical work.
  • You will participate in code or design reviews and apply feedback to improve the quality, maintainability, and security of your work.
  • You will document technical designs, application logic, system components, or data flows relevant to your project.
  • You will investigate bugs, performance issues, or production incidents and work with the relevant engineers to resolve them.
  • You will use approved AI tools for activities such as code exploration, testing, documentation, or analysis, and review their outputs for accuracy and suitability.

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