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# Principal Platform Software Engineer

- **Company:** Oracle
- **Location:** Salem, OR, United States
- **Experience:** Expert
- **Salary:** $105,900 - $234,600
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Distributed Systems, Python (Programming Language), Machine Learning, Oracle (Applications), Tensorflow, Shell Script, System Software, Pytorch, DeepSpeed, Transfer Learning, Large Language Models, Deep Learning, Generative AI, Kubernetes, Information Technology, KServe
- **Published:** November 11, 2026
- **Apply:** https://dejobs.org/x/x/4CEF7C9B7E544B80A166A573FFE22499/job/

## About the Role

* You are an experienced machine learning engineer with a proven track record of delivering large-scale, high-performance model serving/training systems in production.
 * You are obsessed with customers and exceeding their expectations.
 * You have excellent communication skills and you can clearly explain complex technical concepts.
 * You are a disciplined engineer who understands the importance of high standards, never satisfied with mediocrity and constantly striving for excellence.
 * You are passionate about technology and self-motivated to stay updated with latest developments in machine learning related technologies., * BS in Computer Science, or equivalent experience.
 * 5+ years of experience shipping scalable, cloud-native distributed systems
 * Ability to work in a collaborative, cross-functional team environment.
 * Proficient in Python and shell scripting tools.
 * Experience with container orchestration technologies like Kubernetes.
 * Experience with production operations and best practices for putting quality code in production and troubleshoot issues when they arise.
 * Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)., * MS in Computer Science.
 * Production experience with cloud computing.
 * Experience with Large Language Model (LLM) serving technologies like DeepSpeed, FasterTransformer etc.
 * Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
 * Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies
 * Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers).
 * Experience in diagnosing, troubleshooting and resolving issues in AI model training and serving

## Description

As a senior software engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area.

What we offer:

 * Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide.
 * High visibility to senior leadership, opportunity to make huge impacts across organizations.
 * Opportunity to build state-of-the-art technologies in large language models (LLM) and generative AI at scale to solve real business problems.
 * Close partnership with applied scientists and software engineers to deploy solutions into production in various business-critical scenarios., As a senior software engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. You will diagnose, troubleshoot and resolve issues in AI model training and serving. You may also perform other duties as assigned.