Software Developer 4
Oracle · United States
- Hybrid
- Full-time
- $167,100 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Lead AI application development team for network automation.
- Utilize AI/ML for network optimization and security.
- Design scalable AI systems for training and inference.
- Explore AI research for network management solutions.
- Develop GPU-accelerated AI pipelines and services.
About the role
Principal AI Networking Developer
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.
Responsibilities
As a Principal AI Networking 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.
Required/Preferred experience:
- 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
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 prior experience building AI applications training models.
Key skills/competency
- Principal AI Networking Developer
- AI/ML
- Python
- ML Frameworks
- Networking Protocols
- Data Center Designs
- Infrastructure as a Service
- Network Monitoring
- Network Automation
- LLMs
Skills & topics
- Principal AI Networking Developer
- AI
- ML
- Python
- Machine Learning
- Network Automation
- LLM
- Data Engineering
- Distributed Systems
- Cloud Solutions
How to get hired
- Tailor your resume: Highlight your experience with Python, ML frameworks, and network automation.
- Showcase AI/ML expertise: Emphasize projects involving LLMs, RAG, and model fine-tuning.
- Quantify achievements: Use data to demonstrate the impact of your contributions to network optimization and security.
- Prepare for technical interviews: Brush up on networking protocols, distributed systems, and AI/ML concepts.
- Understand Oracle's culture: Research their AI and cloud solutions to align your responses with company values.
Technical preparation
Master Python and ML frameworks like PyTorch, TensorFlow.,Practice with LLMs, RAG, and model fine-tuning.,Familiarize with network telemetry and automation tools.,Understand distributed systems and large-scale training.
Behavioral questions
Describe a complex AI network problem you solved.,How do you collaborate with cross-functional teams?,How do you stay updated with AI research?,Explain your approach to designing scalable AI systems.
Frequently asked questions
- What are the key responsibilities for an AI Networking Developer at Oracle?
- As an AI Networking Developer at Oracle, you will lead the design and development of advanced AI applications for network automation, optimization, and security. This includes designing and implementing scalable AI/ML systems, exploring AI research for network solutions, and developing GPU-accelerated AI pipelines. You'll also be involved in RAG and LLM fine-tuning initiatives.
- What technical skills are essential for this Principal AI Networking Developer role at Oracle?
- Essential technical skills include strong Python and ML frameworks like PyTorch and TensorFlow. Experience with LLMs, embeddings, vector search, RAG pipelines, and fine-tuning is crucial. Proficiency in data engineering tools (Spark, Kafka), distributed systems, handling network telemetry, and network automation frameworks is also required.
- What is the required education and experience for an AI Networking Developer at Oracle?
- A BSEE, BSCS, BSCE, or equivalent degree is required, with an MSEE, MSCS, or MSCE being a plus. You need at least 7 years of experience in building software systems, along with prior experience in building AI applications and training models.
- How does Oracle approach AI development within its networking solutions?
- Oracle integrates AI across its products and services, including networking. This role focuses on using AI/ML to automate, optimize, and secure networks, addressing tasks like self-provisioning and self-healing networks. The company is committed to leading innovation in AI and cloud solutions.
- What are the career level and growth opportunities at Oracle for this role?
- This position is at Career Level IC4. Oracle offers opportunities to work on cutting-edge AI applications that impact billions of lives and encourages employees to discover their potential within a company leading in AI and cloud solutions.