Engineer, Process and Equipment Engineering

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Main Responsibilities:    Identify, diagnose and resolve process and equipment related problems  Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step  Lead / Support the New Equipment Qualification to support new technology development and production ramp.   Lead / participate in continuous yield improvement and cost reduction activities  Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction  Support SPC/FDC/RMS/APC  Manage / audit material suppliers to achieve quality, cost and risk management objectives  Support internal and external audits  Defines processing or handling equipment requirements and specifications, and reviews processing techniques and methods applied in the manufacture, fabrication, and evaluation of products. Involvement may begin at any step from pilot plant to full-scale manufacturing. Participate in design requirement review with cross-functional teams to ensure compatibility with processing methods. Compiles and evaluates test data to determine appropriate limits and variables for process or material specifications.  Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Other Responsibilities    Data Management and Analysis    Manage and maintain MES-related databases, ensuring data accuracy and integrity  Analyze system data to identify trends, issues, and opportunities for improvement  Preferred Technical Skills   Knowledge of statistical process control (SPC), design of experiments (DOE), and root cause analysis (RCA)  Knowledge Failure mode and effects analysis (FMEA), and root cause analysis (RCA)  Knowledge of AI tools and application  Must Have Soft Skills  Strong analytical and problem-solving skills with a data-driven mindset   Effective communication skills for cross-functional collaboration with engineering, operations, and quality teams  Ability to work independently and manage multiple priorities in a fast-paced environment  Adaptability and resilience in a dynamic manufacturing setting    Preferred skills or experience   Experience in or knowledge on semiconductor manufacturing process and technologies  Familiarity with MES (Manufacturing Execution Systems) and automation tools  Lean Six Sigma certification (Green Belt or higher)  Job Requirements, Qualifications/Experience:   Bachelor’s or advanced degree in Engineering or Science is required Strong analytical, logical, and critical thinking skills  Effective communicator, able to collaborate across all levels  Growth mindset with a passion for continuous learning  Internship or experience in the semiconductor industry is a plus  Demonstrated leadership and a track record of impact are highly desirable  Interest in and knowledge of the semiconductor industry and Micron is preferred  Knowledge of Statistical Process Control (SPC), Design of Experiment, Engineering Statistical data analysis would be advantageous.  Ability to apply baseline digital fluency and role ‑ appropriate AI literacy to use AI ‑ enabled tools