Senior Process Engineer

4 weeks ago


Parañaque, Philippines Allegro MicroSystems Full time

The Opportunity

This role is a critical contributor to the semiconductor manufacturing operations, responsible for the development, optimization, and continuous improvement of assembly processes. This role ensures the manufacturability, quality, and reliability of our products by establishing robust process parameters, implementing advanced quality tools, and driving efficiency enhancements. The Process Engineer will play a key role in new product introductions, equipment qualification, and collaborating with cross-functional teams to resolve complex technical challenges.

What You Will Do Process Development & Optimization
  • Lead the setup, development, and parameter optimization of new and existing assembly processes to achieve target yields, quality, and cycle times.
  • Spearhead the generation of Failure Mode and Effects Analysis (FMEA) for new assembly processes and conduct thorough reviews and updates of existing FMEAs to mitigate potential risks.
  • Design, develop, and/or qualify jigs, fixtures, and tools to enhance machine efficiency, improve product quality, and reduce manufacturing defects.
Equipment Management & Qualification
  • Generate and/or review comprehensive equipment specifications and qualification procedures, including supporting documentation for Production Acceptance Review (PAR) of new equipment.
  • Lead or participate in machine qualification activities and ongoing monitoring, including conducting equipment buy-off at supplier sites. Recommend and implement machine modifications or upgrades whenever necessary to optimize performance and reliability.
Documentation & Standardization
  • Generate, interpret, and regularly update process and material specifications, control plans, and flowcharts for all in-house assembly operations and products.
  • Ensure all documentation adheres to company policies, industry standards, and best practices, facilitating clear communication and process control.
  • Issue specific product information and guidelines required for testing, processing, and handling to relevant production teams.
Quality, Control & Continuous Improvement
  • Coordinate and resolve quality, manufacturability, process control, and reliability issues by effectively interfacing with internal (e.g., Design, Test, Quality) and external customers/suppliers.
  • Initiate, develop, and implement new systems, procedures, and services for continuous process improvement, focusing on efficiency, cost reduction, and defect prevention.
  • Actively apply core quality tools such as Advanced Product Quality Planning (APQP), FMEA, Measurement System Analysis (MSA), Statistical Process Control (SPC), and Production Part Approval Process (PPAP) to ensure process robustness and product quality.
What You Will Bring
  • Bachelor's degree in Electrical Engineering, Electronics and Communication Engineering, Mechanical Engineering, Materials Engineering, Metallurgical Engineering, Chemical Engineering, Manufacturing Engineering, Industrial Engineering, or a closely related technical field.
  • Minimum of 3 years of hands-on experience in a Process Engineering role within the semiconductor manufacturing industry, specifically in assembly operations.
  • Proven track record in process setup, development, and optimization.
  • Demonstrated experience with equipment qualification, buy-off processes, and FMEA generation/review.
  • Strong knowledge of semiconductor assembly processes (e.g., die attach, wire bond, molding, singulation) and associated equipment.
  • Proficient in generating technical reports, defining clear manufacturing specifications, and developing robust process documentation.
  • Solid understanding of electronic, mechanical, and electro-mechanical theories, with practical experience in using appropriate electrical, electronic, and mechanical tools and instruments for troubleshooting and analysis.
  • Expertise in applying core quality tools, including APQP, FMEA, MSA, SPC, and PPAP.
  • Familiarity with statistical data analysis software (e.g., JMP, Minitab) for process monitoring and improvement
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