Intern, Software Engineer [PDMS-DPM-Engineering]

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

• 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

• 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

• 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