Sr Member of Technical Staff

Sr Member of Technical Staff - Product Eng NVM/SRAM Join to apply for the Sr Member of Technical Staff - Product Eng NVM/SRAM role at GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit . Introduction GlobalFoundries is seeking a highly experienced and technically proficient Senior Member of Staff – Product Yield Engineer to lead yield improvement initiatives across advanced semiconductor technologies. This role is critical in driving yield enhancement strategies, collaborating with cross‑functional teams, and mentoring junior engineers to ensure robust product performance and manufacturing efficiency. Job Requirement Lead yield improvement programs for advanced technology nodes, focusing on root cause analysis and resolution of yield‑limiting defects. Provide technical leadership in defining yield KPIs and aligning them with business goals, program/project management and customer needs. Drive and collaborate with process integration, device engineering, design, and manufacturing teams to identify and mitigate yield detractors for yield improvement. Develop and implement data‑driven methodologies for yield analysis, including statistical process control (SPC), failure analysis, and defect density reduction. Drive continuous improvement initiatives using structured problem‑solving techniques (e.g., 8D, FMEA, FA methodology) esp. for yield issue solving. Utilize advanced analytics and machine learning tools to predict and prevent yield excursions. Mentor and guide junior engineers, fostering a culture of innovation and technical excellence. Interface with customers to provide technical updates, manage yield‑related concerns, and support product qualification and ramp‑up. Perform detailed data analysis with various statistical/data mining tools to identify low‑yield root causes in the shortest time frame. Skillset Needed Strong knowledge of NVM devices, process integration, and test methodology to drive low‑yield issue resolution. Basic knowledge of FA techniques. Strong analytical, problem‑solving, and communication skills. Proficiency in electrical test data and inline analysis. Proficiency in data analysis tools (e.g., JMP, Python, Spotfire) and yield management systems. Team‑player ability with strong multi‑tasking capability. Ability to work in a diverse and inclusive workforce. Deep understanding of semiconductor device physics, process integration, and defect mechanisms. Experience in leading cross‑functional teams and solving complex technical yield issues. Required Qualification PhD/Master’s/Bachelor’s Degree in Electrical Engineering, Materials Science, Physics or related field. Minimum 10 years of experience in semiconductor process/yield engineering, preferably in advanced CMOS and NVM technologies. Preferred knowledge of Design for Manufacturability (DFM), reliability engineering, and exposure to AI/ML applications in yield prediction and defect classification. GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency, and innovation while ensuring all employees feel respected, valued, and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation, and medical/physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings where applicable, and subject to local laws and regulations. Information about our benefits can be found here: . #J-18808-Ljbffr