Staff/Principal Validation Engineer – AI/ML

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Staff/Principal Validation Engineer – AI/ML THE ROLE: We are looking for an experienced and highly skilled System Software design engineer with a deep understanding of Windows internals, strong knowledge of various Linux distributions, and handson expertise in test frameworks and C/C++, Python development. This role involves designing robust test strategies, building test plans, developing automation, and collaborating closely with development teams to ensure highquality software. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you with a result-oriented and encouraging environment for your career growth. KEY RESPONSIBILITIES: Design, develop, and execute comprehensive test plans, test strategies, and test cases for complex systemlevel features. Define the multi-year vision and roadmap for system software testing infrastructure and methodologies Develop novel approaches for validating AI/ML workloads on GPU infrastructure Perform functional, integration, and system-level testing on Windows Operating system and across different Linux distributions (e.g., Ubuntu, RHEL, SLES, etc.). Analyze and debug issues across the software stack using strong knowledge of Windows internals, system services, kernel-level behavior, performance tools, and logs. Ensure test coverage for the GPU product features Review requirements and create associated test cases to ensure traceability Develop and maintain automated tests using gtest, ctest, and other relevant test frameworks. Collaborate with cross-functional teams to ensure testability and influence design decisions to improve product quality. Write clean, maintainable C/C++, Python code for test automation, validation tools, and testing infrastructure. Drive continuous improvements in test processes, tooling, and coverage. Investigate failures, perform rootcause analysis, and provide detailed debug information to development teams. Mentor junior engineers and contribute to building a high-quality engineering culture. Must be a self-starter, and able to independently drive tasks to completion  PREFERRED EXPERIENCE: Experience with performance testing or hardware–software systems. Familiar with AI/ML concepts General Computer Architecture concepts Windows and Linux Operating Systems Cloud, Virtualization and Container environments System level, functional and environmental stress testing Deep Learning, High Performance Computing or GPU Server Based computing a big plus. Knowledge of CUDA GPU Computing Languages a plus. Parallel Computing Skills with MPI Programing experience a plus. Proven record in large scale data center engineering Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of container technologies (Docker, Podman, Kubernetes). Experience with performance testing or hardware–software systems. Excellent interpersonal, organizational, analytical, planning, and technical leadership skills  ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer or Electrical Engineering or equivalent #LI-NR1 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.

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.

Staff/Principal Validation Engineer – AI/ML THE ROLE: We are looking for an experienced and highly skilled System Software design engineer with a deep understanding of Windows internals, strong knowledge of various Linux distributions, and handson expertise in test frameworks and C/C++, Python development. This role involves designing robust test strategies, building test plans, developing automation, and collaborating closely with development teams to ensure highquality software. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you with a result-oriented and encouraging environment for your career growth. KEY RESPONSIBILITIES: Design, develop, and execute comprehensive test plans, test strategies, and test cases for complex systemlevel features. Define the multi-year vision and roadmap for system software testing infrastructure and methodologies Develop novel approaches for validating AI/ML workloads on GPU infrastructure Perform functional, integration, and system-level testing on Windows Operating system and across different Linux distributions (e.g., Ubuntu, RHEL, SLES, etc.). Analyze and debug issues across the software stack using strong knowledge of Windows internals, system services, kernel-level behavior, performance tools, and logs. Ensure test coverage for the GPU product features Review requirements and create associated test cases to ensure traceability Develop and maintain automated tests using gtest, ctest, and other relevant test frameworks. Collaborate with cross-functional teams to ensure testability and influence design decisions to improve product quality. Write clean, maintainable C/C++, Python code for test automation, validation tools, and testing infrastructure. Drive continuous improvements in test processes, tooling, and coverage. Investigate failures, perform rootcause analysis, and provide detailed debug information to development teams. Mentor junior engineers and contribute to building a high-quality engineering culture. Must be a self-starter, and able to independently drive tasks to completion  PREFERRED EXPERIENCE: Experience with performance testing or hardware–software systems. Familiar with AI/ML concepts General Computer Architecture concepts Windows and Linux Operating Systems Cloud, Virtualization and Container environments System level, functional and environmental stress testing Deep Learning, High Performance Computing or GPU Server Based computing a big plus. Knowledge of CUDA GPU Computing Languages a plus. Parallel Computing Skills with MPI Programing experience a plus. Proven record in large scale data center engineering Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of container technologies (Docker, Podman, Kubernetes). Experience with performance testing or hardware–software systems. Excellent interpersonal, organizational, analytical, planning, and technical leadership skills  ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer or Electrical Engineering or equivalent #LI-NR1