Overview

OCI's AI Infrastructure Innovation team is pioneering next-generation AI/HPC networking for massive GPU superclusters. We design and deliver state-of-the-art RDMA-based networking solutions for frontend and backend fabrics, enabling high-performance AI training and inference. Join us to architect innovative networking software that advances RDMA for GPUs and accelerates storage access at unprecedented scale.

Responsibilities

• Define and architect next-generation RDMA-based networking for AI/HPC superclusters.
• Lead complex system design for frontend and backend networking fabrics.
• Implement high-performance networking software optimized for GPU workloads.
• Drive innovation in RDMA protocols to support massive-scale AI training and inference.
• Optimize storage access and data movement across distributed GPU clusters.
• Collaborate with cross-functional teams to integrate networking solutions into OCI platform.
• Prototype and validate new networking technologies at exascale.
• Mentor engineers and contribute to technical roadmap for AI infrastructure.

Qualifications

• 10+ years experience in software engineering with focus on distributed systems and networking.
• Deep expertise in RDMA, InfiniBand, RoCE, or high-speed Ethernet protocols.
• Strong background in large-scale systems for AI/ML or HPC workloads.
• Proficiency in C/C++, kernel development, and performance optimization.
• Experience with GPU programming (CUDA) and AI infrastructure a plus.
• Proven track record leading architecture for mission-critical systems.

Benefits

• Competitive salary and equity in a high-growth cloud leader.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible PTO and remote/hybrid work options.
• Professional development stipend and conference budget.