Software Developer 4

Oracle

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WANew York, NYAustin, TXNashville, TN
Salary: $99,600–$234,600 / yr
Posted: 14 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 Developer in the Networking Org, you will lead the design and development of advanced AI applications that automate and optimize network systems. Your day-to-day responsibilities include designing scalable orchestration for serving and training AI/ML models, integrating contemporary research into software stacks, and optimizing technologies across the stack for performance. You will also lead initiatives in AI systems 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 and large-scale training/inference, and knowledge of network automation tools like Terraform and Ansible. This role requires a strong background in building AI applications and software systems, ideally with at least 7 years of relevant experience.

Skills

Python PyTorch TensorFlow LLMs RAG pipelines Spark Kafka Flink OCI Streaming Data Flow Distributed systems Network telemetry NetFlow packet captures streaming telemetry Terraform Ansible NAPALM Containerization MLOps CI/CD GPU workflows

What you'll do

Design and implement scalable orchestration for serving and training AI/ML models.
Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.
Evaluate and integrate technologies to optimize latency, throughput, and resource utilization for workloads.
Develop scalable services and tools to support GPU-accelerated AI pipelines using Python/Go.
Design and develop observability frameworks for monitoring and troubleshooting networks.

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, inference, and distributed systems.
Knowledge of network automation tools such as Terraform, Ansible, and NAPALM.
Skills in data engineering technologies including Spark, Kafka, Flink, and OCI Streaming.
Ability to design and optimize AI pipelines for GPU-accelerated services.

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