Senior AI Infrastructure Engineer - GPU & HPC

Oracle Corporation; Nashville (TN); On-site; USD 140,000 - 210,000; Full time

Job summary

Oracle Corporation’s OCI AI Infrastructure team is building a cutting-edge GPU platform to support AI/ML/HPC workloads. This role focuses on architecture changes for GPU delivery, health monitoring, triage automation, and diagnostic services across thousands of GPUs using RoCE and Infiniband.

We seek adaptable engineers with deep distributed-systems expertise and a passion for scalable, high-performance systems.

Qualifications

• BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
• Deep understanding of operating systems, computer networks, and high-performance applications
• 4+ years’ experience delivering and operating large-scale production systems (1000+ server instances)
• Proficient in one programming language (Java/Python/C/C++/GoLang/shell scripting)
• Strong background in Linux systems

Responsibilities

• Implements and contributes to development for components of distributed systems that support horizontal and vertical scaling including

Skills

Java

Python

C/C++

GoLang

Shell scripting

Distributed systems

Linux systems

Education

BS/MS in Computer Science

Tools

Redis

Memcached

MySQL

Job description

Oracle Corporation’s OCI AI Infrastructure team is building a cutting-edge GPU platform to support AI/ML/HPC workloads. This role focuses on architecture changes for GPU delivery, health monitoring, triage automation, and diagnostic services across thousands of GPUs using RoCE and Infiniband.

We seek adaptable engineers with deep distributed-systems expertise and a passion for scalable, high-performance systems.