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AMD

Designs chips for computers and AI systems

Manager – DCGPU Quality Diagnostics

Quality EngineeringPosted on Nov 13
Full-timeMarkham, ON, CanadaNo salary listedIn-person

About the Job

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.

Desired Qualifications

  • 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, 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.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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