Software Developer 4

Oracle

Quick summary

Work type: On-site
Location: Seattle, WASanta Clara, CANew York, NYAustin, TXNashville, TN
Salary: $99,600–$234,600 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $167k

$83k most similar roles pay here $251k

This role pays more than 56% of similar roles. Most pay $135,000–$191,500 — the shaded band above. At the midpoint, this role pays about $167k versus about $163k 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 755 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 568 roles with salary data.

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At a glance

TL;DR · Software Developer 4

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As a Principal AI Networking Developer, you will join a dynamic design and development team to lead the creation of advanced AI applications that automate and optimize network operations. Your daily tasks include designing scalable orchestration systems for AI/ML models, integrating contemporary research into software stacks, and optimizing technologies across the stack for performance. You will also spearhead initiatives in AI system design, such as Retrieval-Augmented Generation (RAG) and LLM fine-tuning, while collaborating with cross-functional teams to deploy cutting-edge solutions. Essential skills include proficiency in Python and ML frameworks like PyTorch and TensorFlow, experience with distributed systems, network telemetry handling, and knowledge of containerization and MLOps tools. This role requires a deep understanding of networking protocols and data center designs, as well as strong problem-solving and communication abilities, to tackle large-scale AI challenges in the realm of infrastructure automation and optimization.

Skills

Python PyTorch TensorFlow LLMs RAG pipelines Spark Kafka Flink OCI Streaming Distributed systems NetFlow Terraform Ansible Containerization CI/CD MLOps GPU workflows

What you'll do

Design and implement scalable orchestration for AI/ML model serving and training.
Integrate contemporary research on AI agents and inference systems into network software stacks.
Evaluate and optimize technologies across the stack to enhance latency, throughput, and resource utilization.
Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.
Develop scalable services and tools for GPU-accelerated AI pipelines using Python/Go.

What we're looking for

6+ years of experience in building software systems and AI applications
Proficiency in Python and machine learning frameworks like PyTorch and TensorFlow
Experience with large-scale training and inference of AI models
Knowledge of network automation tools such as Terraform, Ansible, and NAPALM
Skills in data engineering technologies including Spark, Kafka, and Flink
Ability to design and implement scalable services for GPU-accelerated pipelines
Strong problem-solving skills and excellent communication abilities

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