Manager, DCGPU Quality Diagnostics

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THE ROLE:

Lead the DCGPU Quality Diagnostics team, which owns debug and failure analysis for AMD Data Center GPU products across the production lifecycle, from silicon screening through System rack assembly. This people-leadership role covers product quality, factory yield and board-level failure analysis. You'll build and grow a team of debug and diagnostics engineers, set the team's technical direction and priorities, and stay close to the work to lead the hardest investigations.

You are responsible for turning what the team learns from production failures into stronger diagnostic coverage, so those failures are caught at earlier test stages. You'll also be accountable for quality improvements to engineering, manufacturing and executive leadership.

KEY RESPONSIBILITIES:

• Hire, lead and develop a team of quality and diagnostics engineers, which may span several sites and time zones
• Set the team's initiative roadmap, priorities and resources to support product launches and production ramps
• Own the quality escalation process for DCGPU production failures, from triage through root cause, corrective action and closure
• Define and track the team's key metrics, failure paretos, test escapes, time to root cause and how much diagnostic coverage has improved
• Lead the work of feeding failure analysis results back into diagnostic coverage, so failures move to earlier test stages (ATE/SLT screening, board test, system-level test, rack)
• Act as the main quality and debug contact for manufacturing partners, ODMs and factory test teams
• Work with silicon validation, firmware, platform, ROCm, release and RMA teams to drive fixes across the organization
• Represent the team in quality reviews, product readiness reviews and leadership updates

PREFERRED EXPERIENCE:

• Significant experience in test engineering, hardware validation, diagnostics, product quality, or failure analysis, preferably within GPU, semiconductor, server, or datacenter environments.

• Proven experience leading and developing engineering teams while remaining technically engaged in complex debug and root-cause investigations.

• Strong experience with board-level failure analysis, silicon validation, manufacturing yield, factory test flows, and high-volume production/NPI.

• Hands-on experience debugging across the hardware/software boundary, including server architecture, firmware, BMC/IPMI, PCIe, I2C/SMBus, power, signal integrity, and thermals.

• Proficiency with relevant diagnostic and data-analysis tools, including Python, C/C++, Linux, SQL/Snowflake, and

• GPU frameworks such as ROCm, CUDA, OpenCL, Vulkan, or OpenGL.

• Demonstrated ability to use failure and yield data to identify trends, drive corrective actions, and improve diagnostic/test coverage at earlier production stages.

• Strong ability to lead complex quality escalations, operate effectively with incomplete information, and drive resolution across engineering, manufacturing, ODM, and customer-facing teams.

• Excellent communication and influencing skills, including the ability to brief technical and executive stakeholders on critical quality issues and drive action across teams without direct authority.

ACADEMIC CREDENTIALS:

• BS in Computer Engineering, Electrical Engineering, Computer Science, or related field
• Equivalent experience considered

LOCATION:

Markham, ON

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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.