Optimize Test Strategies: Design and execute efficient test plans, test time, yield, and quality to meet factory financial goals. Identify cost-effective testing methods through troubleshooting, validation, and continuous improvement.
Lead and Collaborate on Engineering Solutions: Lead and implement innovative engineering solutions while collaborating with cross-functional teams to ensure project success under competitive timeline.
Champion Innovation and Cost Efficiency: Collaboratively integrate advanced testing technologies, research, and adopt cost-saving solutions like Test Time Reduction (TTR) and new test platforms, driving CAPEX reduction. Continuously improve test programs and test infrastructure to enhance product quality and reliability.
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Shift support for continuous production line and ensure equipment in good performance to meet the goals on Equipment uptime, yield, and cost, utilization and cycle time.
Support the production Report the online machine status and issue to EE Leader and Engineer.
Professional Training and Education for Growing Entrepreneurs (PROTÉGÉ) is training program to develop and guide youths in collaboration with industry experts in the effort to increase the marketability of unemployed graduates.
Qualifications:
Recent graduates (2025-2026) with Bachelor's degree in Mechanical Engineering, Electrical Engineering or related field.
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Drive advancement in packaging materials by addressing material-related design and process challenges. Develop solutions to support next-generation package requirements, including smaller form factors, thinner die, higher interconnect density, increased power, and enhanced reliability.
Lead the evaluation, development, and qualification of advanced packaging materials for both product development and high-volume manufacturing. Ensure compliance with industry standards and sustain high material quality to enable reliable, high-yield, and cost-efficient manufacturing.
Responsible for material characterization, lab testing, and design of experiments (DOE) to simulate manufacturing processes and use-condition failure. Analyze thermal, mechanical, and environmental performance to ensure materials meet reliability and performance targets.
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In this position, the individual will be responsible for fully supporting the Department Manager on the development of the Company goals, strategy and tactics.
The most important being the ability to work with the team to assure the good execution.
The individual will work with the team to fully support the company and department goals on yield, quality, and cost, utilization, productivity and cycle time.
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Factory Capex planning base on the loading forecast, Capex budget control and monitoring on capital utilization and efficiency.
Productivity improvement project: Lead in cost saving projects such as Productivity improvement, cycle time improvement, MMR improvement, etc. to meet company goals.
Capacity planning and analysis to meet the volume demand and maximize the plant utilization.
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Develop, optimize, and sustain SMT and mechanical assembly processes, with a primary focus on through hole components.
Lead process characterization activities, including DOE planning/execution and in‑depth root cause analysis, to drive yield, quality, and process robustness improvements.
Collaborate closely with cross-functional teams—including manufacturing, quality, and NPI engineering—to support new product introduction and smooth transition to sustaining mode.
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Execute assigned network service and feature tasks by following established standards, procedures, runbooks, and implementation plans.
Assist with deployment, configuration, monitoring, and troubleshooting of LAN, WAN, wireless, firewall, DHCP, DNS, and related network services under guidance from senior engineers.
Support small, well-defined network changes and maintenance window activities while ensuring change records, validation steps, and backout plans are complete.
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Identify, analyse, and resolve manufacturing process and quality-related issues through data-driven approaches.
Develop, implement, and maintain Fault Detection (FD), Predictive Analytics, and Run-to-Run (R2R) control models to improve process stability, yield, and equipment performance.
Lead and participate in continuous improvement initiatives focused on yield enhancement, cycle time reduction, productivity improvement, and manufacturing cost optimisation.
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