Principal Group Leader Test Engineer (Analog Power and Interface Division)

Microchip Technology is seeking an experienced Principal Test Engineering lead to lead the Sustaining and Enhancement Test Engineering team.

This is a hands-on working leadership role. The successful candidate manages a team of Test Engineers while remaining personally active in day-to-day test engineering work across analog, power, and mixed-signal semiconductor products.

The ideal candidate brings strong test engineering fundamentals and platform-agnostic depth across ATE environments, with the ability to ramp quickly on new systems, combined with the leadership skills to guide and develop a high-performing team

Key Responsibilities

Team Leadership & People Management

• Manage, mentor, and develop Test Engineers at PTC Philippines

• Set team objectives aligned with Business Unit goals and team KPIs

• Coordinate workload distribution and resource planning across sustaining projects

• Identify training needs and drive skill development across the team

• Stay engaged in technical work to maintain credibility and support team delivery

Hands-On Test Engineering: Sustaining & Enhancement

• Perform and lead sustaining activities including test program maintenance, debug, and optimization across multiple ATE platforms

• Drive test program enhancements to improve yield, throughput, test coverage, and test time

• Review and approve engineering changes impacting test flows and programs

• Participate directly in resolving test escapes, production failures, and quality issues — including floor-level debug when needed

• Support root cause analysis and corrective actions with Product Engineering and Quality teams

• Lead or co-lead enhancement projects to expand test coverage, reduce escapes, or improve test economics

• Serve as the primary test engineering liaison; coordinate with Test Operations, Product Engineering, Quality Assurance, and Manufacturing teams

• Champion test engineering best practices, standardized workflows, and task automation initiatives across the team

• Track and report key metrics: test yield, test escapes, cycle time, and project status

• Apply advanced statistical analysis (MSA, GRR, ANOVA) to drive data-informed decisions on yield and quality improvement

Leadership Competencies

• Hands-On Technical Leader
• Actively contributes to engineering and technical work while effectively leading the team
• Serves as a trusted subject matter expert in test methodologies and engineering fundamentals
• Team Builder
• Develops and mentors engineers to support professional growth
• Promotes a collaborative, high-trust, and team-oriented environment
• Results-Oriented
• Drives projects to successful completion with strong ownership, accountability, and execution focus
• Cross-Cultural Communicator
• Works effectively with teams and stakeholders across the Philippines, US, and other global locations
• Problem Solver
• Uses structured and analytical thinking to address complex and ambiguous technical challenges
• Initiative
• Proactively identifies opportunities for improvement, automation, and process optimization

Required Qualifications:

• Bachelor’s degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or a related field
• Minimum of 10 years of semiconductor test engineering experience
• At least 3 years of people management or team leadership experience within a Test Engineering (TE) or Product Engineering (PE) environment
• Strong platform-agnostic expertise in Automated Test Equipment (ATE) engineering
• Deep understanding of test methodologies and engineering fundamentals
• Proven ability to quickly learn and adapt to new tester platforms and systems
• Hands-on experience with J750, SPEA, and Eagle testers is preferred
• Proven experience in:
• Production sustaining
• Yield improvement
• Failure analysis
• Engineering Change Order (ECO) management
• Advanced statistical and data analysis skills, including:
• Measurement System Analysis (MSA)
• Gauge R&R (GRR)
• ANOVA
• Application of statistical methods for yield and quality improvement
• Familiarity with AI-assisted engineering workflows and automation-driven practices
• Experience using scripting, data tools, or AI-based solutions to improve engineering efficiency is an advantage
• Excellent written and verbal English communication skills
• Experience collaborating with geographically distributed or cross-site engineering teams is preferred.