Senior Core Infrastructure Engineer

Oracle•Nashville, TN

About The Position

OCI (Oracle Cloud Infrastructure) AI Infrastructure builds an ultra-high-performance GPU platform for AI/ML/HPC workloads, enabling customers to scale from tens to thousands of GPUs while maintaining performance. The team designs and develops core architectural capabilities for GPU delivery, health monitoring, triage automation, and diagnostic services to support distributed workloads across large GPU clusters, using technologies such as RoCE and InfiniBand. The role suits adaptable, self-motivated engineers with strong distributed-systems and software-development expertise. Engineers work across the stack, debug software, troubleshoot low-level systems, and favor simple, scalable designs. The position involves collaboration in an agile environment with dependent teams, including Network and Data Center operations.

Requirements

  • Bachelor’s or master’s degree in Computer Science or a relevant technical field involving coding, or equivalent practical experience.
  • Deep understanding of operating systems, computer networks, and high-performance applications.
  • At least 4 years of experience delivering and operating large-scale production systems with 1,000 or more server instances.
  • Proficiency in at least one programming language: Java, Python, C, C++, Go, or shell scripting.
  • Strong distributed-systems and algorithms knowledge.
  • Ability to learn quickly, work collaboratively in an agile environment, and design and implement simple, scalable solutions.

Nice To Haves

  • Strong background in Linux systems.
  • Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.
  • Enterprise storage, networking, or computing experience.
  • Understanding of databases and SQL, including MySQL, and caching technologies such as Redis or Memcache.

Responsibilities

  • Design and develop architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services.
  • Support distributed AI/ML/HPC workloads across large GPU clusters.
  • Debug software and troubleshoot low-level systems.
  • Collaborate with dependent teams, including Network and Data Center operations.

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion.
  • Short-term and long-term disability insurance.
  • Life insurance and accidental death and dismemberment insurance.
  • Supplemental life insurance for employees, spouses, and children.
  • Health care and dependent care flexible spending accounts.
  • Pre-tax commuter and parking benefits.
  • 401(k) savings and investment plan with company match.
  • Flexible or accrued vacation, depending on position eligibility.
  • 11 paid holidays.
  • Paid sick leave: 72 hours upon hire, refreshed annually, with unused hours carrying over up to a 112-hour cap.
  • Paid parental leave.
  • Adoption assistance.
  • Employee Stock Purchase Plan.
  • Financial planning and group legal benefits.
  • Voluntary auto, homeowner, and pet insurance.
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