In the rapidly evolving world of Artificial Intelligence, the invisible infrastructure supporting groundbreaking innovations often goes unnoticed. At the helm of quality assurance for this essential foundation stands Sameeksha Gupta, a dynamic and influential leader in the field of component engineering. As a Component Quality Engineer (CQE) for GPUs at Meta, Sameeksha plays a critical role in ensuring the robustness and reliability of the hardware that powers AI systems across inference and training clusters. Her expertise, spanning memory lifecycle engineering and supplier quality control, has made her a sought-after authority in the technology landscape.

Early Life and Academic Foundation

Sameeksha’s journey began in India, where she earned her Bachelor of Engineering in Electronics & Electrical Communication Engineering from Panjab University. Her academic pursuit led her to the United States, where she completed a Master of Science in Electrical Engineering at San Jose State University, graduating with an impressive GPA of 3.82. Her academic experience not only laid a solid theoretical foundation but also introduced her to advanced test methodologies, circuit design principles, and data analysis techniques  skills that would become instrumental in her professional ascent.

Professional Journey: Building from the Ground Up

Sameeksha’s career began with a Product Engineering internship at SanDisk Corporation, where she honed her analytical abilities through hands-on experience with NAND flash memory production and quality assurance. Upon graduation, she transitioned into a full-time role, quickly progressing from Product Engineer II to Staff Engineer at Western Digital. There, she demonstrated her talent for streamlining manufacturing test flows and improving product yield, consistently achieving high performance in time-to-market delivery, yield optimization, and defect reduction.

Her move to Micron Technology as a Media Health Engineer marked a pivotal shift. In this role, Sameeksha delved deeper into the intricacies of 3D NAND defect analysis, electrical failure diagnostics, and advanced data modeling for system-level testing. Her ability to identify failure patterns and collaborate across global teams showcased her rising leadership capabilities.

From 2020 to 2023, at Facebook (now Meta), she served as a Supplier Quality Engineer for SSDs. Sameeksha is responsible for end-to-end Flash storage and SSD quality at Facebook, ensuring new product readiness and alignment with stringent performance and reliability standards. She leads supplier engagement, quality excursion management, and root cause analysis across the supply chain and data centers. Sameeksha drives continuous improvement through supplier quality programs, audits, and implementation of corrective actions. She evaluates product reliability using predictive tools and supports vendor selection through capability assessments and technology roadmap reviews, playing a key role in scaling Facebook’s infrastructure with consistent quality and operational excellence. 

Leadership and Innovation

Currently serving as a CQE for GPUs at Meta, Sameeksha leads GPU quality initiatives for AI infrastructure, developing and executing robust quality control plans for both inference and training clusters. She conducts regular audits of supplier quality systems to ensure compliance with industry standards and proactively identifies and mitigates risks to product quality. Collaborating closely with engineering teams, Sameeksha drives implementation of design for manufacturability (DFM) and design for assembly (DFA) best practices. 

She partners with operations teams to establish scalable quality control processes and leverages data-driven insights to optimize performance. Through strong supplier and stakeholder relationships, she ensures alignment across the product lifecycle and uses advanced reliability prediction techniques to enhance product robustness and drive continuous improvement. Her initiatives have improved not only product quality but also cross-functional workflows, making her an indispensable part of AI hardware reliability efforts.

Notable Achievements

Among Sameeksha’s many accomplishments, her work in reducing Defective Parts Per Million (DPPM) stands out as particularly impactful. At both SanDisk and Meta, her initiatives significantly improved the quality and yield of NAND-based storage products and GPUs. Her ability to conduct and guide electrical and physical failure analyses has repeatedly led to successful product qualifications and production ramp-ups. She has also led audits, built supplier capability roadmaps, and driven corrective actions that contributed directly to Meta’s hardware reliability and supply chain performance. Notably, her expertise has been recognized on an international stage, with her contributions featured at the ITC 2025: IEEE International Test Conference, underscoring her leadership in advancing semiconductor testing and reliability practices.

Academic Contributions

While primarily focused on industry, Sameeksha maintains strong ties to her academic roots. She has contributed to bridging theoretical principles with applied engineering, particularly through her work in usage modeling and system failure mitigation. Her understanding of device physics and digital/analog circuit behavior allows her to translate complex system requirements into practical, scalable quality solutions.

Her ability to teach and mentor, especially in global engineering contexts, positions her as both a thought leader and a teacher within the field.

Future Vision and Impact

Looking ahead, Sameeksha remains committed to pushing the boundaries of AI hardware quality and reliability. Her vision includes fostering stronger integration between design and quality engineering functions and adopting more advanced data analytics to predict and preempt product failures. As AI applications become more pervasive, her work in ensuring GPU quality and reliability will be essential to the success of next-generation intelligent systems.

With a passion for technological innovation and a deep-rooted drive for social impact, Sameeksha Gupta stands as a powerful example of leadership in engineering. Her journey reflects not just technical excellence but also an enduring commitment to quality, collaboration, and continuous improvement  values that will undoubtedly shape the future of AI infrastructure.