Senior Principal Engineer - AI Networking

Oracle

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $96,800–$306,400 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $216k

This role $202k

$72k most similar roles pay here $332k

This role pays less than 64% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $202k versus about $216k for comparable roles.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 755 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 568 roles with salary data.

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At a glance

TL;DR · Senior Principal Engineer - AI Networking

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As a Senior Principal Engineer in AI Networking, you will join a leading-edge team to architect and implement high-performance networking solutions for large-scale AI environments. Your day-to-day responsibilities include designing RDMA-based services, optimizing collective communication frameworks, and enhancing reliability mechanisms across GPU clusters. You will collaborate with cross-functional teams to deliver scalable infrastructure and mentor engineers on complex initiatives. The ideal candidate has deep expertise in RDMA technologies like RoCE and InfiniBand, along with strong experience in C/C++ development for distributed systems. Familiarity with AI frameworks such as PyTorch and TensorFlow, GPU networking, and cloud-native infrastructure is preferred. This role demands a data-driven approach to performance optimization and the ability to influence technical direction across multiple teams within Oracle’s expansive AI ecosystem.

Skills

RDMA InfiniBand C/C++ Linux NCCL RCCL MPI UCX XCCL PyTorch DeepSpeed Megatron-LM TensorFlow JAX Kubernetes GPU GPUDirect RHEL Networking Distributed Systems

What you'll do

Architect and develop high-performance networking software for large-scale AI environments.
Design and implement RDMA-based services enabling low-latency communication across GPU clusters.
Drive evolution of collective communication frameworks used by distributed AI workloads.
Develop congestion management mechanisms for large-scale RDMA networks.
Lead performance analysis and system-wide optimization efforts for infrastructure.
Define architecture and technical direction for networking platforms supporting next-gen AI.
Mentor engineers and provide leadership on complex cross-functional initiatives.

What we're looking for

10+ years of experience in building distributed systems and networking software.
Deep expertise in RDMA technologies such as RoCE, InfiniBand, and GPU-aware communication stacks.
Strong system design skills with a focus on scalability, performance, and reliability.
Experience developing networking software using C/C++ for large-scale production environments.
Demonstrated technical leadership in driving architecture and execution across multiple teams.

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