Senior Principal Network Development Engineer (IC5) – Backend NIC Qualification & NPI (OCI AI2 [...]

Job Summary

We are seeking a Senior Principal Network Development Engineer (IC5) to lead backend NIC qualification and New Product Introduction (NPI) for next‑generation networking platforms supporting GPU‑ and accelerator‑based clusters. This role is critical to enabling OCI’s AI superclusters by ensuring NIC technologies meet stringent requirements for RDMA performance, cluster scale, and workload isolation.

IC5 (Principal) Expectations

• Technical Leadership at Scale: Owns and drives critical, cross‑organizational initiatives that impact OCI AI infrastructure at fleet level
• End‑to‑End Ownership: Operates with high autonomy in ambiguous spaces, defining problems, strategy, and execution without requiring direction
• Cross‑Org Influence: Partners effectively across compute, networking, hardware, and operations teams; influences external vendors and internal architecture decisions
• Depth + Breadth: Brings deep domain expertise in networking/NICs while understanding adjacent systems (compute, storage, AI workloads)
• Operational Excellence: Drives high standards for reliability, scalability, and performance in production environments
• Data‑Driven Decision Making: Uses metrics, benchmarking, and production telemetry to guide decisions and prioritize work
• Mentorship & Multiplication: Elevates team capability through mentorship, technical guidance, and raising engineering standards
• Customer Impact Focus: Aligns engineering decisions with the needs of OCI AI customers and large‑scale training workloads

Responsibilities

• Own the end‑to‑end qualification strategy and execution for backend NICs supporting OCI AI clusters (RDMA/RoCE‑based fabrics)
• Lead NIC NPI for AI infrastructure, from early silicon bring‑up through fleet‑wide deployment across OCI regions
• Define validation methodologies for high‑performance, low‑latency distributed training workloads (e.g., GPU collectives, east‑west traffic patterns)
• Drive deep performance characterization and tuning of NICs in AI cluster environments (latency, throughput, tail latency, congestion behavior)
• Partner with NIC and silicon vendors (e.g., NVIDIA/Mellanox, Broadcom, Intel) to resolve complex hardware/firmware issues and influence feature design
• Collaborate with OCI AI/ML platform, cluster networking, and host software teams to ensure optimal integration with drivers, kernel, and user‑space stacks
• Build and scale automated validation frameworks for continuous qualification across rapidly evolving AI hardware generations
• Lead root cause analysis (RCA) for systemic issues impacting cluster performance or reliability, driving fixes across stack layers
• Establish qualification gates, acceptance criteria, and release readiness processes aligned with OCI production standards
• Use production telemetry and workload insights to inform validation strategy and proactively identify risk areas
• Influence NIC and system architecture to meet the demands of next‑generation AI workloads

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
• 8–12+ years of experience in networking, systems engineering, or hardware validation in large‑scale distributed environments
• Deep expertise in NIC architecture and advanced features (RDMA/RoCE, congestion control, SR‑IOV, queueing, offloads)
• Strong understanding of distributed systems networking for AI/ML workloads (e.g., collective communication patterns, east‑west traffic scaling)
• Advanced knowledge of Linux networking stack and kernel‑level debugging
• Proven experience leading hardware qualification and/or NPI efforts in data center or cloud environments
• Strong debugging skills across hardware, firmware, driver, and system layers
• Proficiency in automation and tooling (Python, Bash, or similar)
• Experience with performance benchmarking and traffic analysis in high‑scale environments

Preferred Qualifications

• Experience with AI/HPC networking (e.g., RoCEv2, InfiniBand concepts, GPU cluster networking)
• Familiarity with distributed training frameworks (e.g., NCCL) and their network behavior
• Knowledge of PCIe, NUMA, and GPU/accelerator interconnect considerations
• Experience in hyperscale cloud environments
• Exposure to SmartNICs, DPUs, or offload‑driven architectures
• Experience building validation pipelines integrated with CI/CD systems
• Background in large‑scale cluster bring‑up and production operations

Benefits

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short‑term disability and long‑term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre‑tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non‑overtime eligible) position. (Additional details omitted for brevity.)
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. (Additional details omitted for brevity.)
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

EEO Statement

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.