Test Engineer - Software (AI)

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Overview

PC Partner is a leading manufacturer of computer electronics. Our key products are video graphics cards, motherboards and mini-PCs. We are also offering one-stop electronic manufacturing services to reputable brands all over the world. As one of the leaders in the industry, we leverage our extraordinary research and development capabilities and state-of-the-art production facilities to constantly bring new product ideas and leading-edge innovations to the market. We endeavour to stay ahead of the industry to ensure success and competitiveness in serving the needs of our customers.

Position Summary

We are looking for a Test Engineer - Software (AI) who will be responsible for ensuring the quality, reliability and performance of AI-driven software systems through structured test planning, execution and automation. This role works closely with cross-functional teams to validate AI system designs, identify issues early, improve testing efficiency and ensure AI-driven solutions meet project goals through effective technical execution and communication.

Key Responsibilities

Test Design & Coverage

• Design and maintain effective test plans and test cases based on product requirements and system architecture

• Identify critical test scenarios, edge cases and failure modes across functional, integration and performance layers

• Contribute to risk-based testing strategies to ensure optimal test coverage

White-box & Developer Collaboration

• Work closely with developers to understand code design and contribute to unit and white-box testing

• Support developers in improving testability, code coverage and test design

• Review code and test implementations to ensure quality and maintainability

Test Execution & Quality Assurance

• Execute end-to-end testing across APIs, application workflows and embedded systems

• Validate system performance, stability and reliability under different usage scenarios

• Investigate, reproduce and track defects; partner with engineers to drive timely resolution

AI driven Software Solution Validation

• Design test inputs, prompts and datasets to evaluate AI system behaviour.

• Validate the outputs for accuracy, consistency and robustness using defined evaluation criteria.

• Perform regression and scenario-based testing to ensure stable model performance across releases.

Test Automation & Tooling

• Develop and maintain automated test suites for regression and feature validation.

• Contribute to automation frameworks and integrate tests into CI/CD pipelines for continuous validation.

• Build tools or scripts to improve testing efficiency, repeatability and coverage.

Collaboration & Engineering Practices

• Work closely with software and AI engineers to understand system design and provide early quality feedback.

• Contribute to improving test frameworks, coding standards and engineering best practices.

• Produce clear test reports, metrics and insights to support release decisions.
  

Requirements

• Min. Degree in Computer Engineering, Computer Science or a related software engineering field.
• Min. of 2 years of relevant experience in a similar role, with proven hands-on experience in planning, designing and conducting software testing on AI related products.
• Strong understanding of unit testing, white-box testing and code-level validation.
• Proficiency in programming (e.g, Python) with experience writing testable and maintainable code.
• Hands-on experience with test automation frameworks (e.g, Pytest, Selenium or similar).Experience testing APIs and backend systems.Familiarity with CI/CD pipelines and version control (e.g, Git).
• Basic understanding of AI/ML systems or strong interest in AI testing.Strong debugging, analytical thinking and attention to detail.
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.
• Candidates are required to list current and expected salary, as well as notice period (if any) in resumes.