Principal Engineer - Group Leader - Test (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.