Senior ML/AI DevOps Engineer

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. THE ROLE: AMD’s Software and Solutions Team is seeking a Senior ML/AI DevOps Engineer to drive automated infrastructure deployment, CI/CD design, and validation workflows for AMD’s AI software and datacenter platforms. This role requires deep technical expertise in infrastructure automation, cloud-native systems, and DevOps engineering, along with strong cross-functional collaboration skills. The position spans development, deployment, performance validation, and monitoring, ensuring highly reliable and secure infrastructure to support AMD’s rapidly evolving AI initiatives.  THE PERSON: A highly motivated and passionate professional with deep expertise in DevOps, automation engineering, and infrastructure orchestration, combined with a strong track record of collaboration, technical execution, and systems integration KEY RESPONSIBILITIES: Create resilient automation pipelines, orchestrate Kubernetes-based environments, and ensure seamless integration of diverse software components. Design CI/CD pipelines, automate bare-metal-to-Kubernetes bring-up, deploy microservices with Helm, and integrate security and static code analysis tools. Build monitoring systems and automated alerts, diagnose and resolve complex build failures, and collaborate with teams across the organization to ensure validation readiness for AI solutions. Play a critical role in advancing AMD’s infrastructure, scaling enterprise deployment workflows, refining automation architectures, and enabling rapid iteration across the Software and Solutions organization. PREFERRED EXPERIENCE: Extensive expertise in Python automation, CI/CD frameworks (Jenkins, Terraform, Ansible), and Kubernetes/Helm-based microservice deployment. Strong experience with Docker container development, GitHub Actions, Linux system administration, and networking fundamentals (PXE, IPMI, switching/routing) is highly valuable. A solid understanding of observability tools such as Prometheus, Grafana, or ELK/Kibana, along with best practices in secure development and scalable automation, is necessary to optimize workflow performance and maintain reliability across AMD’s AI DevOps infrastructure. ACADEMIC CREDENTIALS: BS, MS, or PhD in Computer Science or a related equivalent + 6 Years of applicable experience This role is not eligible for Visa sponsorship #LI-AP2 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.

THE ROLE: AMD’s Software and Solutions Team is seeking a Senior ML/AI DevOps Engineer to drive automated infrastructure deployment, CI/CD design, and validation workflows for AMD’s AI software and datacenter platforms. This role requires deep technical expertise in infrastructure automation, cloud-native systems, and DevOps engineering, along with strong cross-functional collaboration skills. The position spans development, deployment, performance validation, and monitoring, ensuring highly reliable and secure infrastructure to support AMD’s rapidly evolving AI initiatives.  THE PERSON: A highly motivated and passionate professional with deep expertise in DevOps, automation engineering, and infrastructure orchestration, combined with a strong track record of collaboration, technical execution, and systems integration KEY RESPONSIBILITIES: Create resilient automation pipelines, orchestrate Kubernetes-based environments, and ensure seamless integration of diverse software components. Design CI/CD pipelines, automate bare-metal-to-Kubernetes bring-up, deploy microservices with Helm, and integrate security and static code analysis tools. Build monitoring systems and automated alerts, diagnose and resolve complex build failures, and collaborate with teams across the organization to ensure validation readiness for AI solutions. Play a critical role in advancing AMD’s infrastructure, scaling enterprise deployment workflows, refining automation architectures, and enabling rapid iteration across the Software and Solutions organization. PREFERRED EXPERIENCE: Extensive expertise in Python automation, CI/CD frameworks (Jenkins, Terraform, Ansible), and Kubernetes/Helm-based microservice deployment. Strong experience with Docker container development, GitHub Actions, Linux system administration, and networking fundamentals (PXE, IPMI, switching/routing) is highly valuable. A solid understanding of observability tools such as Prometheus, Grafana, or ELK/Kibana, along with best practices in secure development and scalable automation, is necessary to optimize workflow performance and maintain reliability across AMD’s AI DevOps infrastructure. ACADEMIC CREDENTIALS: BS, MS, or PhD in Computer Science or a related equivalent + 6 Years of applicable experience This role is not eligible for Visa sponsorship #LI-AP2