Principal Software Developer, AI Infrastructure

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$114,600–$234,600 / yr
Posted
118 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $175k
$95k $294k
below market most similar roles pay here above market

This role pays less than 71% of similar roles. Most pay $174,600–$254,750 — the blue band above. At the midpoint, this role pays about $175k versus about $215k for comparable roles.

Based on 240 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 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Principal Software Developer, AI Infrastructure

The Principal Software Developer, AI Infrastructure joins the OCI AI Infrastructure team to build an ultra-high-performance GPU platform for AI, ML, and HPC workloads. This role involves designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services to support distributed workloads across thousands of GPUs. You will design, implement, and deliver software and firmware for managing GPU-based AI servers while collaborating with partner teams to resolve customer issues. Key technologies include RoCE, Infiniband, Linux systems, and programming languages such as Java, Python, C, C++, GoLang, or shell scripting. You will also utilize SQL, MySQL, Redis, and Memcache. The work focuses on solving complex problems in distributed systems, data synchronization, fault tolerance, and state management within a public cloud service data plane.

What does a Software Developer earn?

Median $149350 from 80 postings across 15 companies.

See salary data

What you'll do

  • Design, implement, and deliver software and firmware for managing GPU-based AI servers.
  • Develop architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services.
  • Build high-performance systems to support distributed AI/ML/HPC workloads across thousands of GPUs.
  • Troubleshoot and debug complex issues within the low-level system stack and infrastructure.
  • Manage large-scale production systems involving over 1000 server instances.
  • Develop solutions utilizing RoCE and Infiniband networking technologies for high-performance computing.
  • Resolve customer issues by collaborating with product teams to identify and fix technical bugs.

What we're looking for

  • BS or MS 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.
  • 6+ years of experience delivering and operating large-scale production systems with over 1000 server instances.
  • Proficiency in at least one programming language such as Java, Python, C, C++, GoLang, or shell scripting.
  • Proven ability to deliver products through the full software development lifecycle.
  • Strong communication skills, a systematic problem-solving approach, and a sense of ownership.
  • Experience with Linux systems, system-level architecture, data synchronization, fault tolerance, and state management (preferred).
  • Experience with GPU hardware, Infiniband/RoCE networking, public cloud data planes, or database technologies like MySQL and Redis (preferred).

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