Senior Cluster Engineer – AI Inference Infrastructure

Qualcomm • San Diego, CA

82d • $111,300 - $166,900

About The Position

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. We are seeking a Senior Cluster Engineer to design, deploy, and manage our AI inference cluster ecosystem. This role will deliver and deploy clusters providing high availability, scalability, and performance for our customers.

Requirements

• 2+ years of experience in infrastructure engineering or HPC environments.
• Deep expertise in Linux system administration and cluster orchestration (Kubernetes and Slurm).
• Strong knowledge of datacenter networking fundamentals and RoCE/RDMA.
• Proficiency in Python and Shell scripting for automation.
• Hands-on experience with Ansible or similar automation tools.
• Strong software engineering background (design patterns, CI/CD, testing).
• Exposure to cloud platforms (AWS, Azure, GCP) and hybrid deployments.
• Familiarity with AI inference frameworks and GPU-based workloads.

Responsibilities

• Design and manage large-scale AI inference clusters.
• Oversee server provisioning, networking, and OS lifecycle management in datacenters.
• Implement automation frameworks for cluster deployment and maintenance.
• Integrate Out-of-Band management using RedFish APIs.
• Manage and optimize Kubernetes and Slurm clusters for AI workloads.
• Ensure high-performance networking with RoCE/RDMA.
• Build telemetry and observability systems using Prometheus and OpenTelemetry.

Benefits

• Competitive annual discretionary bonus program.
• Opportunity for annual RSU grants.
• Comprehensive benefits package designed to support success at work, at home, and at play.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees