AMD · 15 hours ago
AI Infrastructure Engineer
San Jose, CA
Full-time
Hybrid
Senior Level
$152K/yr - $228K/yr
5+ years expAMD is a company focused on building innovative products that enhance computing experiences across various domains, including AI and data centers. They are seeking an AI Infrastructure Engineer to develop and manage large-scale GPU compute infrastructure for AI and ML workloads, emphasizing collaboration and effective communication within teams.
AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor
Hiring Manager
Gearóid Ó.
Responsibilities
Build and extend platform capabilities to enable new classes of workloads (e.g., interactive development pods, CI pipelines, inference services, benchmarking jobs)
Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments
Develop platform features such as secret management, configuration management, and deployment automation for customers
Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows that streamline job orchestration and environment management
Manage service lifecycle within Kubernetes using Helm and GitOps workflows (e.g., ArgoCD or Flux)
Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies that enable high-performance GPU workloads
Qualification
Required
5+ years of experience in DevOps, Platform, or Infrastructure Engineering
Deep hands-on experience with Kubernetes and container orchestration at scale
Proven ability to design and deliver platform features that serve internal customers or developer teams
Experience building developer-facing platforms or internal developer portals (e.g.custom workflow tooling)
Preferred
Hands-on experience in storage or network engineering within Kubernetes environments (e.g., CSI drivers, dynamic provisioning, CNI plugins, or network policy)
Experience with Infrastructure as Code tools like Terraform
Background in HPC, Slurm, or GPU-based compute systems for ML/AI workloads
Practical experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.)
Understanding of machine learning frameworks (PyTorch, vLLM, SGLang, etc.)
Benefits
AMD benefits at a glance.
Company
AMD
Advanced Micro Devices is a semiconductor company that designs and develops graphics units, processors, and media solutions.
10001+ employees
H1B Sponsorship
AMD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (836)
2024 (770)
2023 (551)
2022 (739)
2021 (519)
2020 (547)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
OpenAIDaniel Loeb
2025-10-06Post Ipo Equity
2023-03-02Post Ipo Equity
2021-06-29Post Ipo Equity
Leadership Team
Lisa Su
Chair & CEO
Mark Papermaster
CTO and EVP
Recent News
2026-01-18
2026-01-17
2026-01-17
Company data provided by crunchbase