This position is 100% onsite in Santa Clara, California. Limited travel, expected to be less than 10%, may be required to support other AMD lab locations and priority projects.
THE PERSON
The ideal candidate is a hands-on systems engineer who combines strong Linux administration skills with practical data-center experience and a structured approach to debugging.
You are comfortable working directly with server and lab infrastructure, reviewing system logs, diagnosing hardware, software, and network-related problems, using scripting and automation to support repeatable operations. Deduce when an issue can be resolved independently and when the available evidence should be escalated to a specialized engineering team.
You are proactive and self-sufficient, take ownership of work without waiting for detailed direction, communicate effectively with technical partners, and are comfortable operating in a fast-moving R&D environment where priorities can change quickly.
KEY RESPONSIBILITIES
Support server-grade GPU R&D laboratory and data-center infrastructure, including individual systems, multi-node clusters, and associated hardware.
Monitor plus review assigned tasks and associated queues, validate reported symptoms, perform initial diagnosis, document findings, and drive issues toward resolution.
Troubleshoot hardware, software, operating-system, network, component, and system-level issues using logs, monitoring data, diagnostic tools, and established troubleshooting methodologies.
Administer Linux-based systems and review operating-system and system logs to identify evidence of GPU, CPU, networking, hardware, or other component failures.
Install and support requested operating systems, software, drivers, and firmware using approved procedures and compatibility guidance.
Execute and troubleshoot scripts and automation used for routine lab operations, system configuration, firmware updates, diagnostics, and technical follow-up.
Partner with validation, performance, regression, cluster-networking, and other engineering teams by providing logs, executing requested tests, and completing approved hardware or system follow-up.
Coordinate component replacement and other physical hardware actions after the appropriate engineering team confirms the required corrective action.
Maintain system availability and operational readiness so engineering organizations can perform validation, regression, application, release, and performance work.
Proactively identify available work across supported lab environments and drive tasks through completion with minimal supervision.
PREFERRED EXPERIENCE
Strong hands-on Linux administration experience supporting servers, lab systems, or data-center infrastructure.
Practical experience working in a data-center, server laboratory, or comparable technical infrastructure environment.
Demonstrated experience troubleshooting hardware, software, network, node, and component-level issues using a structured debugging methodology.
Experience analyzing system and application logs to identify likely failure causes and determine appropriate next steps.
Scripting and automation experience with Python, Ansible, Bash, or comparable tools used in systems or infrastructure environments.
Experience with system and infrastructure monitoring platforms such as Zabbix, Nagios, or comparable tools.
Familiarity with laboratory and hardware-debug tools, including DediProg or comparable diagnostic tools.
Experience installing or supporting operating systems, firmware, drivers, and system software in server or lab environments.
Ability to collaborate effectively with specialized engineering teams, communicate technical findings clearly, and determine when an issue requires escalation.
Experience supporting clustered systems or multi-node server environments is preferred.
Post-silicon validation, platform bring-up, or comparable formal validation experience is a plus, but is not required.
Experience with AMD-specific lab or debugging tools is advantageous but not required.
AI EXPERIENCE
Experience using AI-assisted tools to improve technical productivity is preferred. Candidates should be comfortable using AI responsibly to assist with reviewing large log sets, identifying possible failure patterns, summarizing technical information, and supporting troubleshooting or failure triage. AI-generated findings should be validated against actual system evidence and used to augment, rather than replace, hands-on technical judgment and physical system diagnosis.
ACADEMIC CREDENTIALS
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or another closely related technical discipline.
Master's degree is a plus.
LOCATION
Santa Clara, California – 100% onsite. Limited travel of less than 10% may be required to support other AMD lab locations or priority projects.
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.
SENIOR SYSTEMS DESIGN ENGINEER
THE ROLE
AMD is looking for a Senior Systems Validation Engineer to join our Systems Design Engineering team supporting server-grade GPU research and development lab environments.
In this hands-on, fully onsite role, you will help keep complex data-center and laboratory infrastructure operating reliably so that validation, performance, regression, cluster networking, and other engineering teams can execute their development work. You will support individual systems as well as multi-node clusters, analyze system logs, perform system component follow-up, troubleshoot hardware and software issues.
You will work closely with engineering teams to investigate reported issues, perform initial diagnosis, execute requested tests and procedures, and resolve problems within the team's scope. When an issue requires deeper engineering analysis, you will collect the appropriate technical information and work with the responsible engineering organization to drive the issue toward resolution.
This position is 100% onsite in Santa Clara, California. Limited travel, expected to be less than 10%, may be required to support other AMD lab locations and priority projects.
THE PERSON
The ideal candidate is a hands-on systems engineer who combines strong Linux administration skills with practical data-center experience and a structured approach to debugging.
You are comfortable working directly with server and lab infrastructure, reviewing system logs, diagnosing hardware, software, and network-related problems, using scripting and automation to support repeatable operations. Deduce when an issue can be resolved independently and when the available evidence should be escalated to a specialized engineering team.
You are proactive and self-sufficient, take ownership of work without waiting for detailed direction, communicate effectively with technical partners, and are comfortable operating in a fast-moving R&D environment where priorities can change quickly.
KEY RESPONSIBILITIES
Support server-grade GPU R&D laboratory and data-center infrastructure, including individual systems, multi-node clusters, and associated hardware.
Monitor plus review assigned tasks and associated queues, validate reported symptoms, perform initial diagnosis, document findings, and drive issues toward resolution.
Troubleshoot hardware, software, operating-system, network, component, and system-level issues using logs, monitoring data, diagnostic tools, and established troubleshooting methodologies.
Administer Linux-based systems and review operating-system and system logs to identify evidence of GPU, CPU, networking, hardware, or other component failures.
Install and support requested operating systems, software, drivers, and firmware using approved procedures and compatibility guidance.
Execute and troubleshoot scripts and automation used for routine lab operations, system configuration, firmware updates, diagnostics, and technical follow-up.
Partner with validation, performance, regression, cluster-networking, and other engineering teams by providing logs, executing requested tests, and completing approved hardware or system follow-up.
Coordinate component replacement and other physical hardware actions after the appropriate engineering team confirms the required corrective action.
Maintain system availability and operational readiness so engineering organizations can perform validation, regression, application, release, and performance work.
Proactively identify available work across supported lab environments and drive tasks through completion with minimal supervision.
PREFERRED EXPERIENCE
Strong hands-on Linux administration experience supporting servers, lab systems, or data-center infrastructure.
Practical experience working in a data-center, server laboratory, or comparable technical infrastructure environment.
Demonstrated experience troubleshooting hardware, software, network, node, and component-level issues using a structured debugging methodology.
Experience analyzing system and application logs to identify likely failure causes and determine appropriate next steps.
Scripting and automation experience with Python, Ansible, Bash, or comparable tools used in systems or infrastructure environments.
Experience with system and infrastructure monitoring platforms such as Zabbix, Nagios, or comparable tools.
Familiarity with laboratory and hardware-debug tools, including DediProg or comparable diagnostic tools.
Experience installing or supporting operating systems, firmware, drivers, and system software in server or lab environments.
Ability to collaborate effectively with specialized engineering teams, communicate technical findings clearly, and determine when an issue requires escalation.
Experience supporting clustered systems or multi-node server environments is preferred.
Post-silicon validation, platform bring-up, or comparable formal validation experience is a plus, but is not required.
Experience with AMD-specific lab or debugging tools is advantageous but not required.
AI EXPERIENCE
Experience using AI-assisted tools to improve technical productivity is preferred. Candidates should be comfortable using AI responsibly to assist with reviewing large log sets, identifying possible failure patterns, summarizing technical information, and supporting troubleshooting or failure triage. AI-generated findings should be validated against actual system evidence and used to augment, rather than replace, hands-on technical judgment and physical system diagnosis.
ACADEMIC CREDENTIALS
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or another closely related technical discipline.
Master's degree is a plus.
LOCATION
Santa Clara, California – 100% onsite. Limited travel of less than 10% may be required to support other AMD lab locations or priority projects.
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.
