Software Developer

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

Benefits offered by this job

Potential bonus

Equity

Compensation deferral

Medical

Dental

Vision

Disability and life insurance

Flexible spending accounts

Commuter and parking benefits

401(k) with company match

Paid time off

11 paid holidays

Paid sick leave

Paid parental leave

Adoption assistance

Employee stock purchase

Financial planning

Voluntary benefits

Job summary

Oracle is seeking a Principal AI Developer for the Networking Org to design and optimize large-scale AI systems focused on scalability, reliability, and performance. The role emphasizes AI-driven network automation, self-healing capabilities, and GPU-accelerated pipelines across Python/Go stacks.

The candidate will lead end-to-end delivery, collaborate with cross-functional teams, and contribute to RAG and LLM fine-tuning initiatives, with a US hiring range noted in the posting and a

Qualifications

• 7+ years building software systems including AI applications and training models.
• Strong Python expertise and ML framework experience (PyTorch, TensorFlow).
• Hands-on with LLMs, embeddings, vector search, and RAG.
• Experience with Spark, Kafka, Flink, and OCI Streaming/Data Flow.
• Background in distributed systems and large-scale training/inference.
• Experience with network telemetry and security-focused AI deployments.
• Familiarity with Terraform, Ansible, NAPALM, Batfish.
• Experience with containerization, model serving, GPU workflows, CI/CD, and MLOps.
• Ability to write design documents, define scope, and own delivery end to end.

Responsibilities

• Lead design and development of advanced AI applications powered by AI models.
• Use AI and ML to automate, optimize, and secure networks.
• Develop self-provisioning, auto-ingesting, auto-qualifying systems, and self-healing networks.
• Design scalable orchestration for serving and training AI/ML models.
• Explore current research on AI, agents, and inference systems for network design, monitoring, troubleshooting, and deployment.
• Evaluate, integrate, and optimize technologies across the stack for latency, throughput, and resource efficiency in training and inference workloads.
• Lead AI systems design initiatives, including retrieval-augmented generation and LLM fine-tuning.
• Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go development, and observability frameworks.
• Collaborate with cross-functional teams to drive the development and rollout of AI solutions.

Skills

Python

PyTorch

TensorFlow

LLMs

Embeddings

Vector search

RAG pipelines

Fine-tuning

Spark

Kafka

Flink

OCI Streaming

Distributed systems

NetFlow

Terraform

Ansible

NAPALM

Batfish

Containerization

Model serving

GPU workflows

CI/CD

MLOps

Design documents

Go development

Python/Go

Education

BS EE/CS/CE

MS EE/CS/CE

Tools

Spark

Kafka

Flink

OCI Streaming/Data Flow

Job description

Salary: $114,600 - 234,600 per year

Requirements:

• We require strong experience in Python and ML frameworks such as PyTorch and TensorFlow.
• We look for hands‑on knowledge of LLMs, embeddings, vector search, RAG pipelines, and fine‑tuning.
• We value data engineering experience with Spark, Kafka, Flink, and OCI Streaming/Data Flow.
• We require background in distributed systems and large‑scale training and inference.
• We look for experience handling network telemetry, including NetFlow, packet captures, and streaming telemetry.
• We value familiarity with network automation tools such as Terraform, Ansible, NAPALM, and Batfish.
• We expect experience with containerization, model serving, GPU workflows, CI/CD, and MLOps tooling.
• We require the ability to write design documents, define scope, and own delivery end to end.
• We require a BSEE, BSCS, BSCE, or equivalent degree; an MSEE, MSCS, or MSCE is a plus.
• We require at least 7 years of experience building software systems, including prior experience building AI applications and training models.

Responsibilities:

• We lead the design and development team to build advanced AI applications powered by AI models.
• We use AI and machine learning to automate, optimize, and secure networks.
• We work on capabilities such as self‑provisioning, auto‑ingesting, auto‑qualifying systems, and self‑healing networks.
• We design and implement scalable orchestration for serving and training AI/ML models.
• We explore current research on AI, agents, and inference systems and apply it to network design, monitoring, troubleshooting, and deployment.
• We evaluate, integrate, and optimize technologies across the stack for latency, throughput, and resource efficiency in training and inference workloads.
• We lead AI systems design initiatives, including retrieval‑augmented generation and LLM fine‑tuning.
• We design and develop scalable services and tools to support GPU‑accelerated AI pipelines, Python/Go development, and observability frameworks.
• We collaborate with cross‑functional teams to drive the development and rollout of AI solutions.

Technologies:

• AI
• Ansible
• CI/CD
• Fine‑tuning
• Flow
• Flink
• Support
• Kafka
• LLM
• Machine Learning
• MLOps
• Model Serving
• Network
• Oracle
• PyTorch
• Python
• RAG
• Spark
• TensorFlow
• Terraform

More:

We are working with Oracle to connect exceptional professionals with this Principal AI Developer role in the Networking Org. This position is focused on building and optimizing large‑scale AI systems with an emphasis on scalability, reliability, and performance. The posting references a US hiring range of $114,600 to $234,600 per year, with potential bonus, equity, and compensation deferral, and Oracle US offers a comprehensive benefits package that includes

• potential bonus
• equity
• compensation deferral
• medical
• dental
• vision coverage
• disability and life insurance
• flexible spending accounts
• commuter and parking benefits
• a 401(k) with company match
• paid time off
• 11 paid holidays
• paid sick leave
• paid parental leave
• adoption assistance
• employee stock purchase
• financial planning
• voluntary benefits

The role is listed at career level IC4.