Software Developer 4

Oracle
Santa Clara, CA, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Continuous Integration Data Centers Information Engineering Distributed Systems Infrastructure as a Service (IaaS) Python (Programming Language) Machine Learning Microsoft Cluster Server NetFlow Network Monitoring Packet Analyzer
+22 more
Network Protocols Oracle (Applications) Cloud Services Ansible Tensorflow Search Technologies Software Construction Data Streaming Graphics Processing Unit (GPU) Enterprise Software Applications Pytorch Large Language Models Apache Spark Generative AI Containerization Low Latency Apache Flink Apache Kafka Machine Learning Operations Terraform Open Network Automation Platform Oracle Cloud Infrastructure

Job description

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Join the Oracle Cloud Infrastructure (OCI) team. We’re looking for experienced AI Developers to join our team and help shape the future of OCI Networking using AI.

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.

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 a plus)

  • Containerization, model serving, GPU workflows, CI/CD, and MLOps tools
  • Writing design docs, scoping features, and owning delivery end-to-end, Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

Requirements

BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus. At least 7+ years of experience building software systems and prior experience building AI applications training models.

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