Staff Engineer, Hardware Reliability — Hybrid, Scale & Automation

LinkedIn; Sunnyvale (CA); Hybrid; USD 156,000 - 255,000; Full time

Job summary

LinkedIn is seeking a Staff Engineer to join the Hardware Capacity Engineering team in Sunnyvale, CA. This role focuses on scaling and sustaining our on-prem infrastructure, including general-purpose compute, GPU/accelerator, storage, and networking across a large, multi-vendor fleet.

You will build automation, ensure fleet health and observability, and collaborate across SRE, software, AI/ML, and hardware vendors to drive reliability and performance at scale.

Qualifications

• BS in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
• 6+ years of experience working in Linux-based infrastructure, systems, or hardware engineering.
• 4+ years of experience with hardware troubleshooting, systems engineering, and performance analysis.
• Experience developing software or automation (AI-assisted or otherwise) for infrastructure at scale.

Responsibilities

• Collaborate with LinkedIn engineering teams to collect requirements for LinkedIn applications and provide guidance on selecting the best-suited hardware platforms and solutions across general-purpose compute, GPU/accelerator, storage, and networking.
• Design test environments and testing scenarios; benchmark compute, storage, and power (e.g., SPEC, SPECpower, etc) and provide detailed analysis of qualification and performance results for varied audiences, including engineers and senior leadership.
• Qualify and integrate new server platforms and components end-to-end, working with hardware vendors on optimal configurations and driving the full integration process.
• Work jointly with other teams on cost and TCO analysis for proposed solutions, present them to decision makers, and define SLAs and technical standards with partner teams.
• Qualify BIOS, BMC, and component firmware. Drive fleet-wide upgrade programs.
• Support and improve the reliability of our existing large-scale, diverse fleet including fault detection and remediation, firmware management, and OS and security compliance.
• Design, build (AI-assisted) and own automation for hardware qualification, provisioning, lifecycle, and fleet health monitoring and telemetry analysis.
• Contribute to AI/ML infrastructure performance and reliability of GPU platforms, InfiniBand/RDMA as part of the team’s broader scope.
• Troubleshoot complex hardware, firmware, kernel, and platform issues across the fleet, and lead critical production incident response.

Skills

Linux-based infrastructure

Hardware troubleshooting

Performance analysis

Automation / scripting for infra

Education

BS in Computer Science/Engineering or equivalent

Tools

IPMI/Redfish (BIOS/BMC)

CUDA / NCCL (ML stack)

Kubernetes

GPFS / HDFS

NVMe / SSD / HDD

Job description

LinkedIn is seeking a Staff Engineer to join the Hardware Capacity Engineering team in Sunnyvale, CA. This role focuses on scaling and sustaining our on-prem infrastructure, including general-purpose compute, GPU/accelerator, storage, and networking across a large, multi-vendor fleet.

You will build automation, ensure fleet health and observability, and collaborate across SRE, software, AI/ML, and hardware vendors to drive reliability and performance at scale.