Sameeksha Gupta has been recognized with a 2025 Global Recognition Award for her outstanding contributions as a component quality engineer at Meta, where her technical expertise and leadership have significantly advanced the company’s AI infrastructure. Her work on the H100 HBM3 GPU deployment for Llama 3 highlights her ability to tackle complex technical challenges while upholding the highest quality standards, which are essential for the success of Meta’s advanced AI models. Through her methodical quality management, Sameeksha has established rigorous benchmarks that significantly reduce the risk of component failure in production environments, ensuring reliable performance at scale.

Her careful attention to detail and comprehensive quality control plans have created a strong framework that protects the integrity of Meta’s AI hardware and raises the bar for the industry. By addressing critical hardware issues and leading cross-functional investigations, she has demonstrated a notable capacity to manage risks and drive ongoing improvement, directly supporting the stability and performance of Meta’s AI clusters. These accomplishments reflect her dedication to excellence and her ability to deliver tangible results that reinforce the company’s technological leadership.

Technical Mastery and Strategic Quality Management

Sameeksha’s technical expertise is evident in her role in developing and implementing comprehensive quality control plans for the H100 HBM3 GPU deployment, a cornerstone of Meta’s artificial intelligence infrastructure. Her structured methodology ensured the dependability of these high-performance GPUs and established a feedback loop supporting ongoing quality improvement across multiple projects. Working closely with vendor engineering teams, she identified the root causes of hardware failures and introduced effective mitigation strategies that reduced the annual swap rate to acceptable levels.

Her data-driven approach to quality monitoring allowed for early identification of potential issues, preventing costly failures and minimizing service interruptions throughout Meta’s AI fleet. Through rigorous incoming inspection procedures and the creation of meaningful quality metrics, she cultivated a culture of excellence that extends beyond her immediate responsibilities. These efforts have optimized GPU utilization rates and maximized the return on Meta’s substantial hardware investments, supporting the platform’s impressive growth and adoption.

Collaborative Leadership and Knowledge Sharing

Sameeksha’s leadership crosses organizational boundaries, coordinating efforts between Meta’s engineering teams, manufacturing partners, and vendor technical staff to align diverse stakeholders around shared quality objectives. She translates complex technical challenges into clear action items, accelerating issue resolution and fostering a collaborative environment that encourages innovation. Team members consistently commend her clear communication and ability to build consensus in challenging situations, which has been vital for the success of cross-functional projects.

Her dedication to knowledge transfer and mentorship is demonstrated by the establishment of standardized procedures for GPU quality management, which have been adopted across multiple Meta initiatives. By documenting best practices and conducting training sessions, she has elevated the capabilities of the entire component quality engineering organization, creating a ripple effect that extends her impact far beyond her direct contributions. This commitment to team development ensures that the benefits of her expertise are sustained and amplified throughout the organization.

Business Impact and Industry Recognition

Sameeksha’s contributions have had a profound effect on Meta’s business performance, particularly in enabling the success of the Llama 3 project, which relies on the reliable operation of its GPU infrastructure. By improving GPU reliability and reducing the annual swap rate, she has minimized service interruptions and maintenance costs, directly supporting Llama 3’s exceptional cost efficiency and rapid growth. These improvements have allowed Meta to process 1 million tokens for just 20 cents, a notable advantage over competitors while maintaining the platform’s leading position on the English Chatbot Arena leaderboards.

The Llama 3 project has received prestigious recognition from the industry, including the Best Paper Award at NeurIPS 2022, the ICLR Outstanding Paper Award 2023, and the AAAI-23 Outstanding Paper Award, as well as features in MIT Technology Review’s 10 Breakthrough Technologies 2023 and IEEE Spectrum’s Top Tech of 2023. While these accolades reflect the collective achievement of the entire team, they underscore the essential groundwork that Sameeksha’s quality engineering work has provided. Her efforts have set new standards for component quality engineering and positioned Meta as a leader in AI innovation and operational excellence.

Final Words

Sameeksha Gupta embodies the highest standards of technical excellence, leadership, and business impact in component quality engineering for AI infrastructure. She addresses complex challenges with innovative solutions and collaborates effectively across organizational boundaries, delivering measurable results that directly support Meta’s objectives. Through her steadfast commitment to quality and ongoing improvement, she has established a new benchmark for excellence in her domain.

Her work has created a strong quality foundation that enables Meta’s continued leadership in AI innovation, providing the organization with a substantial competitive advantage. Sameeksha’s contributions merit global recognition as they continue to drive the next generation of AI capabilities and inspire others in the industry to pursue excellence in technology and teamwork.