Job 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 This role is not eligible for visa sponsorship. #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.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
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
San Jose, CA
Benefits offered are described: AMD benefits at a glance .
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigomlpythonkubernetes

Platform: amd
Effort: medium

Benefits

Benefits detected in the listing.

Vision