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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Systems Engineer - HPC - **Company:** Advanced Micro Devices, Inc. - **Location:** San Jose, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bash Shell, Ubuntu (Operating System), Computer Clusters, Computer Engineering, Data as a Services, Distributed Systems, Python (Programming Language), Kernel-Based Virtual Machine, Ansible, Prometheus, Azure Machine Learning, Web Services, AI Infrastructure, Graphics Processing Unit (GPU), High Performance Computing, Saltstack, Large Language Models, Grafana, Backend, AI Platforms, Kubernetes, Information Technology, Slurm, Terraform - **Published:** August 18, 2026 - **Apply:** https://www.careerarc.com/job-listing/amd-jobs-ai-systems-engineer-hpc-52947033 ## About the Role You have a passion for learning. You are passionate about the field of large-scale distributed computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your efforts. You want to build scalable and highly performant HPC/AI/Data services with AMD hardware, software, people and processes. You have a curiosity to learn and improve scalable HPC systems. You have significant experience in working across a globally distributed organization., * Experience in developing Python based AI apps and UI * HPC infrastructure engineering for AI/HPC domain * SLURM and Kubernetes management * Managing GPU clusters optimizing GPU-based services/tools/software * Experience in creating web services with HPC backend (like AI) * Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and Cluster interconnect with 400G networking. * Demonstrated experience with AI workload schedulers and allocation optimization. * Automation/monitoring tool - Ansible / Saltstack, Terraform, Prometheus, Grafana * Strong organizational, problem-solving, and troubleshooting skills, with the ability to manage multiple projects simultaneously. * Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders at all levels of the organization. EDUCATION: Bachelor's or master's degree in computer science or computer engineering preferred. ## Description ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward. THE ROLE: We are seeking an AI Systems Engineer to join our AMD IT compute platforms engineering team. The AI Systems Engineer is responsible for the design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers. THE PERSON: You have a passion for learning. You are passionate about the field of large-scale distributed computing in AI and HPC workloads. You take responsibility for end-to-end outcomes of your efforts. You want to build scalable and highly performant HPC/AI/Data services with AMD hardware, software, people and processes. You have a curiosity to learn and improve scalable HPC systems. You have significant experience in working across a globally distributed organization. KEY RESPONSIBILITIES: * Develop, implement, and maintain GPU-based clusters, ensuring optimal performance * Administer ML/AI platforms - Distributed ML services, LLMs and AI inferencing, by managing deployments, resource allocation, monitoring, and security. * Automate system provisioning and Cluster management end to end * Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technical expertise. * Monitor and evaluate the performance of AI systems and clusters, ensuring that they adhere to industry best practices and meet company standards. * Use AI/ML to continuously improve internal processes and tools that are used in end-to-end delivery of your services in this team PREFERRED EXPERIENCE: * Experience in developing Python based AI apps and UI * HPC infrastructure engineering for AI/HPC domain * SLURM and Kubernetes management * Managing GPU clusters optimizing GPU-based services/tools/software * Experience in creating web services with HPC backend (like AI) * Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and Cluster interconnect with 400G networking. * Demonstrated experience with AI workload schedulers and allocation optimization. * Automation/monitoring tool - Ansible / Saltstack, Terraform, Prometheus, Grafana * Strong organizational, problem-solving, and troubleshooting skills, with the ability to manage multiple projects simultaneously. * Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders at all levels of the organization. EDUCATION: Bachelor's or master's degree in computer science or computer engineering preferred. LOCATION: San Jose, CA #LI-MR1 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. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The Future of Computing: AI Technologies in the Exascale Era](https://www.wearedevelopers.com/videos/1106-the-future-of-computing-ai-technologies-in-the-exascale-era) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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