Principal Member of Technical Staff

Oracle

Quick summary

Work type: On-site
Location: Austin, TXNashville, TN
Salary: $99,600–$234,600 / yr
Posted: 9 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k

This role $167k

$83k most similar roles pay here $256k

This role pays less than 63% of similar roles. Most pay $161,500–$223,525 — the shaded band above. At the midpoint, this role pays about $167k versus about $193k for comparable roles.

Based on 238 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 755 open roles on FindRole.

Listed pay typically runs $97,500–$211,506 across 570 roles with salary data.

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At a glance

TL;DR · Principal Member of Technical Staff

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As a senior member of the AI Infrastructure engineering division, you will play a pivotal role in defining and evolving standard practices while developing software and firmware to manage GPU-based AI infrastructure. Your responsibilities include designing, implementing, and delivering large-scale production systems with over 1000 server instances. You must be proficient in at least one programming language such as Java, Python, C, or C++ and have experience with cloud storage, networking, and distributed systems. Ideal candidates will also possess knowledge of Infiniband or RoCE networking to ensure efficient data transfer within AI infrastructure environments. This role requires a deep understanding of cloud architecture and the ability to work on complex, high-scale projects that drive innovation in GPU-based AI solutions.

Skills

Java Python Cloud_Architecture Distributed_Systems AWS Kubernetes Terraform CI/CD Infiniband RoCE_networking PostgreSQL Redis MongoDB

What you'll do

Define and evolve standard practices and procedures for AI infrastructure.
Design and develop software for managing GPU-based AI infrastructure.
Debug complex issues in large-scale production systems with over 1000 server instances.
Implement firmware solutions to enhance performance of GPU-based AI systems.
Collaborate on the development of cloud storage, networking, or computing features.

What we're looking for

At least 6 years of experience in delivering and operating large-scale production systems (1000+ server instances)
Proficiency in at least one programming language such as Java, Python, C, or C++ scripting
Experience with cloud storage, networking, or computing is preferred
Knowledge of Infiniband or RoCE networking is beneficial
Active role in defining and evolving standard practices for AI infrastructure management

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