AI Systems Engineer, HPC
Amd
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Market check
How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $151,356–$231,362 — the shaded band above. At the midpoint, this role pays about $217k versus about $191k 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 HPC Systems Engineer - AI Workloads joins the IT compute platforms engineering team to design, develop, and administer high-performance computing infrastructure, GPU clusters, and AI workload schedulers. This role involves building scalable and performant HPC, AI, and data services while managing deployments, resource allocation, monitoring, and security for distributed ML services, LLMs, and AI inferencing. The engineer will automate system provisioning, manage cluster management end to end, and collaborate with cross-functional teams to meet infrastructure requirements. Key technical skills include Python, Shell, Ubuntu, and GPU drivers, alongside experience with SLURM, Kubernetes, RoCEv2, KVM, and 400G networking. The role also requires proficiency in automation and monitoring tools such as Ansible, Saltstack, Terraform, Prometheus, and Grafana to optimize performance for large-scale distributed computing within the AI and HPC domain.
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What we're looking for
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