Senior Principal Engineer - AI Networking
Oracle
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Seattle, WA · Posted September 29, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Oracle has filed 7 layoff notices in the last twelve months, covering 1,876 workers, most recently September 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
Oracle is seeking a highly experienced Lead Principal Software Engineer (IC5) to help define and build the next generation of AI networking infrastructure powering large-scale GPU clusters and distributed AI training platforms. This role focuses on high-performance networking, RDMA-based services, collective communication libraries, congestion management, resiliency, and software platforms that enable efficient operation of large-scale AI workloads.
In this role, you will help build the networking and communication foundation for Oracle's AI infrastructure, enabling efficient scaling of cutting-edge AI workloads across large GPU clusters. Your work will directly influence the performance, reliability, and scalability of systems powering some of the industry's largest AI deployments.