AMD

22 hours ago

AI Research Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Operate and continuously improve AMD’s shared GPU and HPC compute platform that powers AI/ML and HPC research. Own day-to-day health of SLURM-managed GPU and HPC clusters, partner with researchers to run and optimize large multi-GPU/multi-node workloads, and enhance shared compute services such as storage, networking, containers, and monitoring. Support GPU platform bring-up, coordinate university/external collaborator clusters, and lead incident response with runbooks and reliability practices.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own day-to-day operations of SLURM-managed GPU and HPC clusters to ensure high availability, utilization, and performance.
•Partner with researchers as a technical peer to get demanding multi-GPU and multi-node workloads running and optimized.
•Operate and improve shared compute platform components (storage, networking, containers, monitoring) and build automation/self-service workflows.
•Support GPU platform and hardware bring-up, including validation, enablement, debugging, and operational readiness.
•Lead incident response and root-cause analysis, and build runbooks and preventive practices to improve reliability.

Key Requirements

•Hands-on Linux systems administration in shared, multi-user production compute environments.
•Practical experience with the SLURM workload manager, including partitions, scheduling policy, accounting, node management, and tuning.
•Experience operating GPU, HPC, or AI/ML research compute environments.
•Experience with Docker/containers and Kubernetes, plus automation and system health monitoring.
•Bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, or equivalent (preferred).

Experience:AI/MLHPCResearch computingGPULinuxProduction environments

Education:Bachelor's in computer science, computer engineering, electrical engineering, or equivalent

Skills:LeadershipCommunicationCollaborationProblem-solvingReliability mindset

Languages:English

Tech Stack:LinuxSLURMGPUHPCAI/MLDockerKubernetesAutomationMonitoringGitHub ActionsSelf-hosted runnersCI/CDInfrastructure as CodeContainer registriesInfiniBandRoCEROCmRCCLClaude CodeCodex

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD