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Fellow, Customer Quality, Data Center & AI Platform at AMD India | CoreJobs

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AM

AMD IndiaSemiconductor

Fellow, Customer Quality, Data Center & AI Platform

Santa Clara, CaliforniaFull TimeSalary not disclosed8 Apr 2026

ECEAIDS

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Job Description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems.
Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary.
When you join AMD, you’ll discover the real differentiator is our culture.
We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.
Join us as we shape the future of AI and beyond.
Together, we advance your career.

THE ROLE

At AMD, we push the boundaries of innovation to solve the world’s most important challenges.
As a Fellow, Customer Quality, you will drive AI infrastructure quality for next-generation data center CPUs and GPUs powering hyperscale and enterprise deployments.
This is a high-visibility role within the Customer Engineering organization, focused on ensuring quality outcomes across customer deployments.

Job Summary

Company

AMD India

Location

Santa Clara, California

Type

Full Time

Posted

8 Apr 2026

About AMD India

AM

AMD India

Semiconductor

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AM

AMD India

Fellow, Customer Quality, Data Center & AI PlatformNEW

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Job Summary

Company

AMD India

Location

Santa Clara, California

Type

Full Time

Posted

8 Apr 2026

Req ID

81038

About AMD India

AM

AMD India

Semiconductor

RESPONSIBILITIES

Drive customer quality outcomes across AI and data center infrastructure deployments, ensuring high reliability in production environments Translate fleet-scale signals and customer issues into actionable improvements across product, validation, and manufacturing Monitor and improve customer-facing quality metrics across hyperscale and enterprise deployments Apply advanced reliability methodologies, including physics-based modeling and statistical analysis, to improve quality outcomes Enable predictive approaches that support high-confidence deployments at scale Partner with architecture, design, manufacturing, OSAT, and the corporate Quality organization to align on quality priorities Influence cross-functional decisions to improve product and platform quality outcomes Support product launch readiness by identifying test gaps and driving improvements in validation and qualification Provide feedback from customer deployments to improve manufacturing screening, defect detection, and DPM performance Strengthen feedback loops between customer environments and internal engineering teams PREFERRED EXPERIENCE: Several years of experience in semiconductor product quality, customer quality, or silicon manufacturing quality Background in semiconductor product quality, customer quality, or silicon manufacturing quality, including high-volume silicon deployments in hyperscale or enterprise environments Deep understanding of data center CPUs, GPUs, or AI accelerator platforms, including server system architecture (compute, memory, I/O, and RAS) Expertise in product reliability methodologies, manufacturing quality systems, and product qualification processes Demonstrated ability to translate customer and system-level failures into improvements in product design, test coverage, and manufacturing screening Proven capability in defining test patterns and system-level validation methodologies to detect time-zero and reliability defect modes Strong foundation in system-level quality and reliability analysis across complex silicon or SoC architectures, including large-scale validation or fleet environments Track record of influencing cross-functional teams and driving quality improvements across engineering, manufacturing, and quality organizations Experience collaborating with foundry and OSAT partners to achieve defect-per-million (DPM) targets and improve manufacturing outcomes Familiarity with advanced silicon technologies, heterogeneous compute, or high-performance computing architectures ACADEMIC CREDENTIALS: Master’s, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field preferred LOCATION: Austin, TX, Santa Clara, CA or other AMD office locations #LI-AG1 #LI-HYBRID This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.
AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.

RESPONSIBILITIES

  Drive customer quality outcomes across AI and data center infrastructure deployments, ensuring high reliability in production environments   Translate fleet-scale signals and customer issues into actionable improvements across product, validation, and manufacturing   Monitor and improve customer-facing quality metrics across hyperscale and enterprise deployments   Apply advanced reliability methodologies, including physics-based modeling and statistical analysis, to improve quality outcomes   Enable predictive approaches that support high-confidence deployments at scale   Partner with architecture, design, manufacturing, OSAT, and the corporate Quality organization to align on quality priorities   Influence cross-functional decisions to improve product and platform quality outcomes   Support product launch readiness by identifying test gaps and driving improvements in validation and qualification   Provide feedback from customer deployments to improve manufacturing screening, defect detection, and DPM performance   Strengthen feedback loops between customer environments and internal engineering teams     PREFERRED EXPERIENCE:   Several years of experience in semiconductor product quality, customer quality, or silicon manufacturing quality      Background in semiconductor product quality, customer quality, or silicon manufacturing quality, including  high-volume silicon deployments  in hyperscale or enterprise environments   Deep understanding of data center CPUs, GPUs, or AI accelerator platforms, including server system architecture (compute, memory, I/O, and RAS)   Expertise in product reliability methodologies, manufacturing quality systems, and product qualification processes   Demonstrated ability to translate customer and system-level failures into improvements in product design, test coverage, and manufacturing screening   Proven capability in defining test patterns and system-level validation methodologies to detect time-zero and reliability defect modes   Strong foundation in system-level quality and reliability analysis across complex silicon or SoC architectures, including large-scale validation or fleet environments   Track record of influencing cross-functional teams and driving quality improvements across engineering, manufacturing, and quality organizations   Experience collaborating with foundry and OSAT partners to achieve defect-per-million (DPM) targets and improve manufacturing outcomes   Familiarity with advanced silicon technologies, heterogeneous compute, or high-performance computing architectures   ACADEMIC CREDENTIALS:   Master’s, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field preferred     LOCATION: Austin, TX, Santa Clara, CA or other AMD office locations   #LI-AG1   #LI-HYBRID   This role is not eligible for visa sponsorship.
Benefits offered are described:  AMD benefits at a glance .   AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.   AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.   This posting is for an existing vacancy.