Network Site Reliability Engineer, AI Solutions Lab
Core
Build, standardize, and operate compute and software environments to validate Marvell's AI and cloud infrastructure solutions across customer-relevant workloads.
Role type
Senior IC Network Site Reliability Engineer (AI Solutions Lab)
Builds
Validated AI platforms, GPU/HPC lab clusters, and live demos for trade shows
Domain
Semiconductor, AI infrastructure, Networking, Optics, Memory fabrics
Deliverable
production ML models
Required skills
Linux systems operations at scale, Python/TCL scripting, Kubernetes/Slurm orchestration, Infrastructure as Code (Ansible/Terraform), Cluster observability, Incident response, Automation
Preferred skills
AI/HPC cluster operations, Distributed training frameworks (PyTorch DDP/FSDP), Distributed storage systems (Lustre/GPFS/Ceph), Model tuning
Technologies
ROCm, Linux, Kubernetes, Slurm, Ansible, Terraform, Python, C/C++, PyTorch, Lustre, GPFS, Ceph
Responsibilities
Own compute provisioning, cluster bring-up, OS images, and driver stacks; Build and maintain MLPerf-style harnesses and result pipelines; Establish baseline observability for cluster health and job execution; Deploy and manage workload scheduling and orchestration; Own incident response and drive root-cause analysis; Partner with architects to ensure lab environments reflect customer deployments; Improve operational efficiency through automation.
Seniority
Senior, hands-on IC
