Principal AI Developer, Networking & ML Systems

Oracle; Santa Clara (CA); On-site; USD 115,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Disability insurance

Flexible Spending Accounts

Job summary

Oracle US is seeking a Principal AI Developer in the Networking Org to lead the design and development of large-scale AI systems powering secure, high-performance networks. You will drive AI/ML workloads, orchestration, and observability across training and inference pipelines.

The role emphasizes collaboration with cross‑functional teams, experience with Python/ML frameworks, RAG pipelines, and deploying scalable AI services.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

ML frameworks

LLMs

Embeddings

Vector search

RAG pipelines

Fine-tuning

Data engineering

Spark

Kafka

Flink

OCI Streaming

Distributed systems

Training/inference

Network telemetry

Terraform

Ansible

NAPALM

Batfish

Containerization

Model serving

GPU workflows

CI/CD

MLOps

Design docs

Education

BSEE/BSCS/BSCE or equivalent

MSEE/MSCS/MSCE is a plus

Tools

PyTorch

TensorFlow

Job description

Oracle US is seeking a Principal AI Developer in the Networking Org to lead the design and development of large-scale AI systems powering secure, high-performance networks. You will drive AI/ML workloads, orchestration, and observability across training and inference pipelines.

The role emphasizes collaboration with cross‑functional teams, experience with Python/ML frameworks, RAG pipelines, and deploying scalable AI services.