AMD
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THE ROLE: AI infrastructure is scaling faster than traditional debug models can support.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
AI infrastructure is scaling faster than traditional debug models can support. Customers deploy EPYC and GPU platforms across hyperscale clouds, enterprise AI clusters, and remote datacenters where on-site access is not possible. Failures rarely originate in a single layer. They span silicon, firmware, drivers, frameworks, networking, and workload. Customer debug is where these layers converge, and it is one of our richest sources of insight.
The Debug Manager leads the team responsible for driving these issues to root cause and translating what is learned into tooling, telemetry, and playbooks. This leader advises Engineering, Quality, Architecture, and the Cloud, Enterprise, Enterprise AI, and HPC customer teams. This is a high-visibility role with direct influence on the reliability of AMD’s AI infrastructure platforms.
Customer time comes first. Every hour a cluster is unavailable or underperforming is an hour of high-value silicon sitting idle.
Root cause over workaround. A workaround resolves the case. A root cause resolves the problem.
Every debug is a signal. Resolve an issue once, then build the means to detect it going forward.
Debug what cannot be touched. Remote datacenters are the norm, so the necessary data must be captured and delivered to us.
One view across the stack. Ownership extends across every layer involved.
This role requires an uncommon combination of deep technical debugging expertise, composure under pressure, and strong leadership. The successful candidate builds trust with customers during critical incidents and communicates clear, concise status to executive audiences.
You are an ambitious engineering leader with a proven record of resolving complex system-level problems at scale. You combine hands-on platform knowledge with cross-functional collaboration, influence, mentorship, and the development of technical leaders.
Lead and grow a team of debug engineers supporting escalations across hyperscale, HPC, and sovereign AI deployments
Manage two horizons in parallel: daily debug with Cloud and Enterprise AI customers, and at-scale debug with remote datacenters
Own the debug lifecycle end to end: triage, root cause, resolution, and prevention
Establish a disciplined daily operating rhythm: rapid triage, transparent status, clean handoffs, and complete case documentation
Standardize data capture with customers, including telemetry, logs, and out-of-band access, before issues arise
Automate recurring cases into checks, runbooks, and self-serve diagnostics
Build fleet-wide visibility by correlating failures across large numbers of nodes and sites to identify systemic issues early
Deliver clean, reproducible cases that Engineering can accept without rework
Translate field findings into fixes in Engineering, test coverage in Quality, and design decisions in Architecture
Assess the current state of AMD’s hardware, firmware, software, and ecosystem debug capabilities and define generational improvements
Develop strong relationships across the organization and with customers and ecosystem partners
Coach engineers in advanced technical debugging and effective customer communication
Multiple years in systems, silicon, firmware, or platform debug/customer debug, including several years leading technical teams and customer debug
Deep expertise debugging servers, accelerators, interconnects, drivers, and firmware at scale
Fluency in firmware and software, in addition to hardware
Experience with AI/ML training and inference clusters, HPC, or hyperscale environments
Demonstrated success managing customer escalations directly under pressure
Experience with remote debug, telemetry, and large-scale fleet operations
Understanding of how system-level failures affect delivered performance, power consumption, and reliability
Bachelor’s Degree (BS) in Electrical Engineering, Computer Engineering, Computer Science, or other relevant field
Master’s Degree (MS) preferred
THIS ROLE IS NOT ELIGIBLE FOR VISA SPONSORSHIP.
#LI-AG1
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.
AI infrastructure is scaling faster than traditional debug models can support. Customers deploy EPYC and GPU platforms across hyperscale clouds, enterprise AI clusters, and remote datacenters where on-site access is not possible. Failures rarely originate in a single layer. They span silicon, firmware, drivers, frameworks, networking, and workload. Customer debug is where these layers converge, and it is one of our richest sources of insight.
The Debug Manager leads the team responsible for driving these issues to root cause and translating what is learned into tooling, telemetry, and playbooks. This leader advises Engineering, Quality, Architecture, and the Cloud, Enterprise, Enterprise AI, and HPC customer teams. This is a high-visibility role with direct influence on the reliability of AMD’s AI infrastructure platforms.
Customer time comes first. Every hour a cluster is unavailable or underperforming is an hour of high-value silicon sitting idle.
Root cause over workaround. A workaround resolves the case. A root cause resolves the problem.
Every debug is a signal. Resolve an issue once, then build the means to detect it going forward.
Debug what cannot be touched. Remote datacenters are the norm, so the necessary data must be captured and delivered to us.
One view across the stack. Ownership extends across every layer involved.
This role requires an uncommon combination of deep technical debugging expertise, composure under pressure, and strong leadership. The successful candidate builds trust with customers during critical incidents and communicates clear, concise status to executive audiences.
You are an ambitious engineering leader with a proven record of resolving complex system-level problems at scale. You combine hands-on platform knowledge with cross-functional collaboration, influence, mentorship, and the development of technical leaders.
Lead and grow a team of debug engineers supporting escalations across hyperscale, HPC, and sovereign AI deployments
Manage two horizons in parallel: daily debug with Cloud and Enterprise AI customers, and at-scale debug with remote datacenters
Own the debug lifecycle end to end: triage, root cause, resolution, and prevention
Establish a disciplined daily operating rhythm: rapid triage, transparent status, clean handoffs, and complete case documentation
Standardize data capture with customers, including telemetry, logs, and out-of-band access, before issues arise
Automate recurring cases into checks, runbooks, and self-serve diagnostics
Build fleet-wide visibility by correlating failures across large numbers of nodes and sites to identify systemic issues early
Deliver clean, reproducible cases that Engineering can accept without rework
Translate field findings into fixes in Engineering, test coverage in Quality, and design decisions in Architecture
Assess the current state of AMD’s hardware, firmware, software, and ecosystem debug capabilities and define generational improvements
Develop strong relationships across the organization and with customers and ecosystem partners
Coach engineers in advanced technical debugging and effective customer communication
Multiple years in systems, silicon, firmware, or platform debug/customer debug, including several years leading technical teams and customer debug
Deep expertise debugging servers, accelerators, interconnects, drivers, and firmware at scale
Fluency in firmware and software, in addition to hardware
Experience with AI/ML training and inference clusters, HPC, or hyperscale environments
Demonstrated success managing customer escalations directly under pressure
Experience with remote debug, telemetry, and large-scale fleet operations
Understanding of how system-level failures affect delivered performance, power consumption, and reliability
Bachelor’s Degree (BS) in Electrical Engineering, Computer Engineering, Computer Science, or other relevant field
Master’s Degree (MS) preferred
THIS ROLE IS NOT ELIGIBLE FOR VISA SPONSORSHIP.
#LI-AG1
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.
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