Senior GPU Infrastructure Engineer - Scalable AI Platform

Oracle; Austin (TX); On-site; USD 79,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) Savings and Investment Plan

Paid time off

Paid holidays

Parental leave

Employee Stock Purchase Plan

Job summary

Oracle is seeking an adaptable distributed systems engineer to help build a cutting-edge GPU platform for OCI AI Infrastructure. This role focuses on delivering high‑performance, scalable systems that support AI/ML/HPC workloads across thousands of GPUs.

You will contribute to architectural changes for GPU delivery, health monitoring, triage automation, and diagnostics, collaborating with Network and Data Center operations in a fast‑moving, agile environment.

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)

Skills

Adaptable Engineers

Technical Excellence

Simplicity & Scale

Collaborative Spirit

Education

BSc/BEng in CS or related field

Job description

Oracle is seeking an adaptable distributed systems engineer to help build a cutting-edge GPU platform for OCI AI Infrastructure. This role focuses on delivering high‑performance, scalable systems that support AI/ML/HPC workloads across thousands of GPUs.

You will contribute to architectural changes for GPU delivery, health monitoring, triage automation, and diagnostics, collaborating with Network and Data Center operations in a fast‑moving, agile environment.