You are comfortable working independently and across geographically distributed engineering and manufacturing teams. You bring a strong interest in GPU hardware and AI, ML, and HPC technologies, along with deep familiarity with Linux environments and computer hardware validation.
KEY RESPONSIBILITIES
Develop manufacturing test strategies for new product features, including the identification, specification, design, and qualification of test fixtures, equipment, and diagnostic software.
Define scalable board- and system-level hardware test solutions, methodologies, and manufacturing processes.
Review product designs during early development stages and provide Design for Testability (DFT) recommendations.
Develop test content, diagnostic tools, and automation solutions using Python and other scripting languages.
Contribute to automated diagnostic generation and validation infrastructure.
Debug complex hardware, software, device, and manufacturing issues during product build and production phases.
Partner with cross-functional stakeholders and manufacturing partners to improve yield, reduce cost, increase test efficiency, and resolve quality issues.
Evaluate and introduce new manufacturing test technologies, tools, and methodologies.
Lead the resolution of complex, novel, and non-recurring technical problems, including significant improvements to existing processes and methods.
Build and maintain effective working relationships across geographically distributed Product Engineering, Design, Validation, and Manufacturing teams.
Provide technical leadership, influence engineering decisions, and mentor junior engineers as needed.
PREFERRED EXPERIENCE
Proven experience developing and supporting manufacturing test programs for board- or system-level products.
Strong data center system test, hardware validation, and debug experience.
Proficiency with Python programming and Bash or shell scripting.
Experience developing test patterns, vectors, timing, diagnostics, or related manufacturing test content.
Experience debugging issues across hardware, software, device, and manufacturing domains.
Strong working knowledge of Linux or UNIX operating systems.
Solid knowledge of IPMI, PCIe, BMC, and thermal solutions.
Experience with additional scripting languages such as Perl or Ruby.
Programming experience with C, C++, C#, or Java.
Experience with version-control systems such as Git, SVN, CVS, or RCS.
Familiarity with Agile development methodologies, including Scrum or Kanban; Scrum Master or Product Owner experience is a plus.
Demonstrated ability to collaborate effectively with geographically distributed engineering and manufacturing teams.
Excellent communication, analytical, organizational, and problem-solving skills.
Experience driving manufacturing yield, quality, cost, or test-efficiency improvements.
Relevant board-, system-, or platform-level test engineering experience.
ACADEMIC CREDENTIALS
Bachelor’s or Master's degree in Electrical Engineering, Computer Engineering, or a related technical discipline.
This role is not eligible for visa sponsorship.
#LI-CJ2
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
AMD’s Product Development Engineering team is seeking an experienced Test Engineer to support our Data Center Accelerated Computing products. In this role, you will develop and deploy manufacturing test solutions for industry-leading GPUs used in Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) applications.
Working at our manufacturing site, you will collaborate with cross-functional engineering teams and manufacturing partners to deliver scalable test strategies, automation, validation infrastructure, and product improvements. Your contributions will directly impact product quality, manufacturing yield, cost, and production efficiency.
THE PERSON
The ideal candidate is a hands-on test engineer with experience in data center system-level testing, hardware and software debug, and manufacturing test development. You have strong analytical and problem-solving skills, exceptional attention to detail, and the ability to resolve complex technical issues.
You are comfortable working independently and across geographically distributed engineering and manufacturing teams. You bring a strong interest in GPU hardware and AI, ML, and HPC technologies, along with deep familiarity with Linux environments and computer hardware validation.
KEY RESPONSIBILITIES
Develop manufacturing test strategies for new product features, including the identification, specification, design, and qualification of test fixtures, equipment, and diagnostic software.
Define scalable board- and system-level hardware test solutions, methodologies, and manufacturing processes.
Review product designs during early development stages and provide Design for Testability (DFT) recommendations.
Develop test content, diagnostic tools, and automation solutions using Python and other scripting languages.
Contribute to automated diagnostic generation and validation infrastructure.
Debug complex hardware, software, device, and manufacturing issues during product build and production phases.
Partner with cross-functional stakeholders and manufacturing partners to improve yield, reduce cost, increase test efficiency, and resolve quality issues.
Evaluate and introduce new manufacturing test technologies, tools, and methodologies.
Lead the resolution of complex, novel, and non-recurring technical problems, including significant improvements to existing processes and methods.
Build and maintain effective working relationships across geographically distributed Product Engineering, Design, Validation, and Manufacturing teams.
Provide technical leadership, influence engineering decisions, and mentor junior engineers as needed.
PREFERRED EXPERIENCE
Proven experience developing and supporting manufacturing test programs for board- or system-level products.
Strong data center system test, hardware validation, and debug experience.
Proficiency with Python programming and Bash or shell scripting.
Experience developing test patterns, vectors, timing, diagnostics, or related manufacturing test content.
Experience debugging issues across hardware, software, device, and manufacturing domains.
Strong working knowledge of Linux or UNIX operating systems.
Solid knowledge of IPMI, PCIe, BMC, and thermal solutions.
Experience with additional scripting languages such as Perl or Ruby.
Programming experience with C, C++, C#, or Java.
Experience with version-control systems such as Git, SVN, CVS, or RCS.
Familiarity with Agile development methodologies, including Scrum or Kanban; Scrum Master or Product Owner experience is a plus.
Demonstrated ability to collaborate effectively with geographically distributed engineering and manufacturing teams.
Excellent communication, analytical, organizational, and problem-solving skills.
Experience driving manufacturing yield, quality, cost, or test-efficiency improvements.
Relevant board-, system-, or platform-level test engineering experience.
ACADEMIC CREDENTIALS
Bachelor’s or Master's degree in Electrical Engineering, Computer Engineering, or a related technical discipline.
This role is not eligible for visa sponsorship.
#LI-CJ2
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.
