Total 3 job vacancies by Pc Partner Technology Pte. Limited

*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.

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.

*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 publicly listed global technology company and a leading manufacturer of computer electronics, with a strong track record spanning over two decades. Our core products include video graphics cards, motherboards and mini-PCs, alongside comprehensive one-stop electronic manufacturing services for reputable brands worldwide. As one of the leaders in the industry, we leverage deep research and development expertise and state-of-the-art production facilities to consistently deliver innovative, high-quality products at scale. Now headquartered in Singapore, PC Partner is entering its next phase of growth by investing in new capabilities, new teams and new technologies to stay ahead of the industry and strengthen our long-term competitiveness.

Position Summary

We are seeking an experienced AI Product Manager with experience integrating AI technology with hardware and strong knowledge of consumer and/or commercial markets. Deep expertise in a specific technology domain (e.g, smart homes, IoT, robotics or AI-driven platforms) is preferred. The ideal candidate combines strategic vision, technical understanding and market insight to drive AI product innovation and growth in an emerging strategic area for the company.

Key Responsibilities

Market Research & Product Strategy

• Conduct comprehensive industry market research, demand analysis and competitive benchmarking across target regions and countries.

• Identify new product opportunities and new application scenarios leveraging AI capabilities, based on market trends and existing product capabilities and communicate insights promptly to internal stakeholders.

• Define and maintain a clear product strategy, supporting the overall product roadmap and aligning with company objectives.

• Translate strategic goals and market insights into actionable product requirements, user stories and marketing inputs for cross-functional teams.

• Lead and support user research initiatives to uncover customer needs, pain points, workflows and adoption barriers.

Go-to-Market (GTM), Launch & Sales Enablement

• Collaborate closely with Engineering teams across the full development lifecycle to ensure alignment from concept to launch.

• Drive launch readiness planning, including AI product positioning, messaging, sales collateral and promotional initiatives.

• Support the sales team with product knowledge, training materials, competitive insights and customer-facing content to achieve commercial targets.

• Prioritise the Asia region as the first launch market before initiating broader global marketing efforts.

• Coordinate cross-functional stakeholders to execute new product launch promotions and market education activities.

Product Lifecycle & Performance Management

• Manage the full product lifecycle, including planning and coordination for early-stage introduction, growth and maturity phases.

• Track product performance post-launch, analyse user feedback, customer demand signals and operational data to drive continuous improvements.

• Formulate standardised product packages or bundles based on market needs and internal capabilities.

• Collaborate with Product Owners in agile processes, ensuring strong alignment between market needs, product requirements and delivery timelines.

• Identify opportunities to optimise product value, enhance user experience and strengthen competitive differentiation.

Requirements

• Minimum Degree in Business, Marketing, Computer Science, Data Science, Engineering or related fields.

• Minimum 5 years of relevant experience in Product Management or related functions.

• Experience in the consumer market, preferably within the Asia region.

• Experience with AI applications or a background in a related field is preferred.

• Strong analytical and research skills with the ability to translate insights into actionable strategies.

• Excellent communication skills and ability to collaborate with cross-functional teams.

• Experience supporting product launches, sales enablement or market-facing initiatives.

• Ability to manage multiple projects across regions and work effectively with headquarters.

• Independent and self-driven, able to take ownership of tasks and deliver results with minimal supervision.

• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.

*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 building a team of AI Engineers to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.

• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.

• Design and manage data architectures that enable efficient and reliable AI workflows.

• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.

• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.

• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.

• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.

• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.

• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.

• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.

• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.

• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.

• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.
  

Requirements

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.

• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.

• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.

• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.

• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.

• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.

• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.

• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.