AI Infrastructure 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 is looking for an influential software engineer who is passionate about customer facing, hands on engineering work. You will collaborate with enterprise customers to deploy, validate, and optimize GPU and HPC cluster environments. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Operate and tune HPC schedulers and orchestrators (Slurm, Kubernetes/OpenShift) for large-scale GPU clusters. Diagnose and resolve issues across firmware/driver, Linux (RHEL/Ubuntu), networking (RDMA/InfiniBand/RoCE), and container runtimes. Administer data center Linux systems, including access control, storage management, and monitoring (Prometheus/Grafana). Implement automated build/deploy and fleet management using CI/CD and IaC tools (Jenkins/GitHub Actions, Ansible, Terraform). Benchmark and Validate multi-node AI/ML and HPC workloads. Collaborate with global customers and AMD engineering team to drive fixes, guide best practices, and publish playbooks and runbooks. PREFERRED EXPERIENCE: Extensive experience in HPC, GPU computing, or data center engineering supporting production clusters Strong Linux administration and scripting skills (Python, Bash, Go is a plus) for automation and diagnostics. Hands-on experience with cloud platforms (AWS, Azure, GCP) and/or bare-metal provisioning. Experience with build and deployment tools (CMake, Makefile, Docker). Familiarity with AI/ML frameworks such as PyTorch and VLLM is a plus. Expertise in performance tuning, profiling, and optimization of AI/ML workloads is a strong plus. Comfortable in a customer-facing, hands-on role with flexible hours to support global teams. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-MH3 #LI-HYBRID 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.

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.

THE ROLE: AMD is looking for an influential software engineer who is passionate about customer facing, hands on engineering work. You will collaborate with enterprise customers to deploy, validate, and optimize GPU and HPC cluster environments. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Operate and tune HPC schedulers and orchestrators (Slurm, Kubernetes/OpenShift) for large-scale GPU clusters. Diagnose and resolve issues across firmware/driver, Linux (RHEL/Ubuntu), networking (RDMA/InfiniBand/RoCE), and container runtimes. Administer data center Linux systems, including access control, storage management, and monitoring (Prometheus/Grafana). Implement automated build/deploy and fleet management using CI/CD and IaC tools (Jenkins/GitHub Actions, Ansible, Terraform). Benchmark and Validate multi-node AI/ML and HPC workloads. Collaborate with global customers and AMD engineering team to drive fixes, guide best practices, and publish playbooks and runbooks. PREFERRED EXPERIENCE: Extensive experience in HPC, GPU computing, or data center engineering supporting production clusters Strong Linux administration and scripting skills (Python, Bash, Go is a plus) for automation and diagnostics. Hands-on experience with cloud platforms (AWS, Azure, GCP) and/or bare-metal provisioning. Experience with build and deployment tools (CMake, Makefile, Docker). Familiarity with AI/ML frameworks such as PyTorch and VLLM is a plus. Expertise in performance tuning, profiling, and optimization of AI/ML workloads is a strong plus. Comfortable in a customer-facing, hands-on role with flexible hours to support global teams. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-MH3 #LI-HYBRID