Oracle Cloud Infrastructure (OCI) is looking to shape the future of OCI Networking using AI by building advanced AI applications powered by AI models to automate, optimize, and secure networks.
Requirements
- 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
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.
Other
- BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus
- At least 7+ years of experience building software systems and built AI applications training models.
- Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role.
- Career Level - IC4
- US: Hiring Range in USD from: $96,800 - $223,400 per year. May be eligible for bonus and equity.
