HPC Systems Engineer, AI Workloads
Amd
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How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $150,874–$229,325 — the shaded band above. At the midpoint, this role pays about $217k versus about $190k for comparable roles.
Based on 240 similar postings.
Employer
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has 367 open roles on FindRole.
Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.
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At a glance
The AI Systems Engineer joins the IT compute platforms engineering team to design, develop, and administer High-Performance Computing infrastructure, GPU clusters, and AI workload schedulers. The role involves building scalable HPC, AI, and data services while managing deployments, resource allocation, monitoring, and security for distributed ML services, LLMs, and AI inferencing. Key responsibilities include automating system provisioning, collaborating with cross-functional teams to meet infrastructure requirements, and using AI/ML to improve internal tools. The candidate will work with technologies including Python, Shell, SLURM, Kubernetes, KVM, Ubuntu, RoCEv2, and 400G networking. Additionally, the role requires proficiency in GPU drivers, Ansible, Saltstack, Terraform, Prometheus, and Grafana. This position focuses on solving technical challenges related to large-scale distributed computing for AI and HPC workloads within a high-performance environment.
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