Software Developer 4

Oracle
Austin, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Topeka, United States of America

Tech stack

Artificial Intelligence
Continuous Integration
Data Centers
Information Engineering
Distributed Systems
Infrastructure as a Service (IaaS)
Python
Machine Learning
Microsoft Cluster Server
NetFlow
Network Monitoring
Packet Analyzer
Network Protocols
Ansible
TensorFlow
Search Technologies
Software Construction
Data Streaming
Graphics Processing Unit (GPU)
PyTorch
Large Language Models
Spark
Generative AI
Containerization
Low Latency
Apache Flink
Kafka
Machine Learning Operations
Terraform
Open Network Automation Platform
Oracle Cloud Infrastructure

Job description

In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks, training AI models, and an understanding of networking protocols, data center designs, infrastructure as a service, network monitoring and network automation.

Responsibilities

As a Principal AI Developer in the Networking Org, you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting-edge AI applications and are looking for a challenging role, we encourage you to apply. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role.

  • Design and implement scalable orchestration for serving and training AI/ML models.

  • Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.

  • Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.

  • Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.

  • Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks.

Required/Preferred experience:

  • Strong Python and ML frameworks (PyTorch, TensorFlow)

  • LLMs, embeddings, vector search, RAG pipelines, and fine-tuning

  • Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow

  • Distributed systems and large-scale training/inference

  • Handling network telemetry (NetFlow, packet captures, streaming telemetry)

  • Network automation frameworks (Terraform, Ansible, NAPALM, Batfish is aplus)

  • Containerization, model serving, GPU workflows, CI/CD, and MLOps tools

  • Writing design docs, scoping features, and owning delivery end-to-end

Requirements

BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus. At least 7+ years of experience building software s

About the company

 Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Our mission is to help people see data in new ways, discover insights, unlock endless possibilities.

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