Principal AI Software Developer

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 Software Developer 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.

• Strong Python and ML frameworks (PyTorch, Tensor Flow)
• 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 (Net Flow, 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

Required Education and

Work Experience:

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

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only. US:
Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following: