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Senior Principal Engineer - AI Networking

Oracle - Seattle, WA, United States, US

Posted Jun 10, 2026

Benefits

Parental leave
14 weeks Source: https://www.oracle.com/careers/culture/benefits/. source Last checked May 7, 2026.
Non-birth-parent leave
14 weeks Source: https://www.oracle.com/careers/culture/benefits/. source Last checked May 7, 2026.
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$97K-$306K not verified - source not recorded; timestamp not recorded
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

80% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Principal Engineer - AI Networking Seattle, WA, United States, US You will work at the intersection of distributed systems, networking, and AI infrastructure, driving architecture, design, implementation, and performance optimization across software components that support thousands of GPUs and high-bandwidth network fabrics. The ideal candidate combines deep expertise in RDMA and distributed communication systems with a strong track record of delivering production-grade infrastructure at scale. As a technical leader, you will influence architecture across multiple teams, mentor senior engineers, and help shape the roadmap for Oracle's AI networking platform. What You'll Bring Ability to solve highly complex technical challenges spanning networking, distributed systems, and AI infrastructure. Strong system design skills with a focus on scalability, performance, and reliability. A data-driven approach to performance analysis and optimization. Excellent communication and collaboration skills across engineering organizations. Passion for building foundational technologies that enable the next generation of AI workloads. Key Responsibilities Architect and develop high-performance networking software for large-scale AI and HPC environments. Design and implement RDMA-based services and infrastructure that enable low-latency, high-throughput communication across GPU clusters. Drive the evolution of collective communication frameworks and transport layers used by distributed AI training and inference workloads. Develop congestion management, traffic engineering, load balancing, and resiliency mechanisms for large-scale RDMA networks. Optimize end-to-end communication performance across networking, GPU, and software stacks. Collaborate with hardware, networking, distributed systems, and AI platform teams to deliver scalable infrastructure solutions. Lead performance analysis, bottleneck identification, and system-wide optimization efforts. Define architecture and technical direction for networking

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