Software Developer 4

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.

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

Qualifications

• 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.

Pay

Hiring Range in USD from: $114,600 - $234,600 per year.

Schedule

Not specified.

Benefits

See details in the job description.

Company Information

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.