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:

The Product Line Quality (PLQ) Engineer serves as the cross‑functional leader and end‑to‑end owner of product quality at AMD, from early concept through production and field use. This role drives alignment across design, test, reliability, manufacturing, supply chain, and customers, applying sound technical judgment to identify risk, balance quality with cost and schedule, and translate complex data into clear, executive‑level decisions.

THE PERSON:

The ideal candidate is a technically strong, self‑driven engineer with deep expertise in semiconductor product quality, failure analysis, and reliability engineering. They have hands‑on experience with silicon, package, system, and field debug; test and screening methodologies, and data‑driven quality analysis such as DPPM, yield, and risk modeling. An effective communicator with strong attention to detail, they work independently, take ownership of complex technical challenges, and proactively drive problems to closure while continuously seeking process and product improvements.

KEY RESPONSIBILITIES:

• • End‑to‑End Product Quality Ownership:

Own quality strategy and execution across the full product lifecycle—from pre-concept and NPI through production and field support.

• Failure Analysis & Root Cause:

Drive silicon, package, system, and field failure analysis driving cross‑functional root cause, containment, and closure.

• Test & Screening Strategy:

Partner with Packaging and Test Engineering to ensure robust test coverage, effective screening, and data‑driven guard‑banding based on risk and DPPM trends.

• Reliability & Qualification:

Define and drive product qualification, FMEA/DFMEA risk mitigation, and reliability‑based life modeling.

• Data‑Driven Quality:

Perform DPPM modeling, yield analysis, DOE, and cross‑domain data correlation to support product‑gate and executive decisions.

• Manufacturing & Supply Chain Quality:

Lead manufacturing, supplier, and component quality initiatives, change management, supplier qualification, and quality governance.

• Customer Quality Support:

Interface between customer facing Customer Quality Engineering and the internal manufacturing team.

• System & Platform Quality:

Drive system‑ and platform‑level quality readiness, integrating silicon, validation, and field data to mitigate scaling and interaction risks.

• Digital & Analytics Enablement:

Build dashboards and executive reports using modern analytics tools; apply advanced screening and outlier‑detection techniques to reduce escapes.

• Leadership & Influence:

Translate complex technical data into clear executive narratives, influence cross‑functional teams without authority, and balance quality, cost, and time‑to‑market.

PREFERRED EXPERIENCE:

• Experience working in semi-conductor or electronics in either quality, reliability, product development engineering role.
• Experience with application hardware design, semiconductor packaging, FPGA, CPU/GPU or ARM technology, and markets such as datacenter, automotive and aerospace a plus.
• Exceptional and well-developed time and project management skills
• Knowledge on adopting and applying Artificial Intelligence methods and practices into work flows. Training on Artificial Intelligence is an advantage.
• Excel technical and executive-level presentations and communication skills using modern tools like Powerpoint, PowerBI, charts and graphs etc.
• Demonstrate strong statistical data analysis acumen. Proficiency in Mini-Tab or JMP is desired.
• Strong understanding of component- and system-level test methodologies as well as failure analysis techniques for silicon components.
• Intermediate programming skills either with object-oriented or scripting languages.

ACADEMIC CREDENTIALS:

• Masters of Science in Applied Sciences/Material Science/Electrical Engineering or related field preferred.

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.

THE ROLE:

The Product Line Quality (PLQ) Engineer serves as the cross‑functional leader and end‑to‑end owner of product quality at AMD, from early concept through production and field use. This role drives alignment across design, test, reliability, manufacturing, supply chain, and customers, applying sound technical judgment to identify risk, balance quality with cost and schedule, and translate complex data into clear, executive‑level decisions.

THE PERSON:

The ideal candidate is a technically strong, self‑driven engineer with deep expertise in semiconductor product quality, failure analysis, and reliability engineering. They have hands‑on experience with silicon, package, system, and field debug; test and screening methodologies, and data‑driven quality analysis such as DPPM, yield, and risk modeling. An effective communicator with strong attention to detail, they work independently, take ownership of complex technical challenges, and proactively drive problems to closure while continuously seeking process and product improvements.

KEY RESPONSIBILITIES:

• • End‑to‑End Product Quality Ownership:

Own quality strategy and execution across the full product lifecycle—from pre-concept and NPI through production and field support.

• Failure Analysis & Root Cause:

Drive silicon, package, system, and field failure analysis driving cross‑functional root cause, containment, and closure.

• Test & Screening Strategy:

Partner with Packaging and Test Engineering to ensure robust test coverage, effective screening, and data‑driven guard‑banding based on risk and DPPM trends.

• Reliability & Qualification:

Define and drive product qualification, FMEA/DFMEA risk mitigation, and reliability‑based life modeling.

• Data‑Driven Quality:

Perform DPPM modeling, yield analysis, DOE, and cross‑domain data correlation to support product‑gate and executive decisions.

• Manufacturing & Supply Chain Quality:

Lead manufacturing, supplier, and component quality initiatives, change management, supplier qualification, and quality governance.

• Customer Quality Support:

Interface between customer facing Customer Quality Engineering and the internal manufacturing team.

• System & Platform Quality:

Drive system‑ and platform‑level quality readiness, integrating silicon, validation, and field data to mitigate scaling and interaction risks.

• Digital & Analytics Enablement:

Build dashboards and executive reports using modern analytics tools; apply advanced screening and outlier‑detection techniques to reduce escapes.

• Leadership & Influence:

Translate complex technical data into clear executive narratives, influence cross‑functional teams without authority, and balance quality, cost, and time‑to‑market.

PREFERRED EXPERIENCE:

• Experience working in semi-conductor or electronics in either quality, reliability, product development engineering role.
• Experience with application hardware design, semiconductor packaging, FPGA, CPU/GPU or ARM technology, and markets such as datacenter, automotive and aerospace a plus.
• Exceptional and well-developed time and project management skills
• Knowledge on adopting and applying Artificial Intelligence methods and practices into work flows. Training on Artificial Intelligence is an advantage.
• Excel technical and executive-level presentations and communication skills using modern tools like Powerpoint, PowerBI, charts and graphs etc.
• Demonstrate strong statistical data analysis acumen. Proficiency in Mini-Tab or JMP is desired.
• Strong understanding of component- and system-level test methodologies as well as failure analysis techniques for silicon components.
• Intermediate programming skills either with object-oriented or scripting languages.

ACADEMIC CREDENTIALS:

• Masters of Science in Applied Sciences/Material Science/Electrical Engineering or related field preferred.

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.