Senior Principal Engineer - AI Networking

Ll Oefentherapie

Seattle (WA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Ll Oefentherapie in Seattle, Washington is seeking a technical leader to drive architecture and performance optimization in AI networking. The ideal candidate will solve complex challenges across distributed systems and mentor engineers.

Key qualifications include strong system design skills and a passion for building foundational technologies for AI workloads. The role influences multiple teams and shapes technical roadmaps for innovative projects.

Qualifications

  • Ability to solve complex technical challenges in networking and AI infrastructure.
  • Strong system design skills focusing on scalability and performance.
  • Experience with RDMA and distributed communication systems.

Responsibilities

  • Drive architecture and implementation across software components.
  • Mentor senior engineers and influence technical direction.
  • Shape the roadmap for Oracle's AI networking platform.

Skills

Distributed systems design
Networking expertise
AI infrastructure knowledge
Performance optimization
Excellent communication skills

Job description

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.
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