Senior Principal Engineer - AI Networking

Oracle; United States; On-site; USD 96,800 - 306,400; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) Savings Plan with company match

Flexible Vacation policy

Job summary

Oracle is looking for a highly skilled software engineer to design and implement high-performance networking infrastructure for AI workloads. The ideal candidate will possess over 10 years of experience in building distributed systems and a deep understanding of RDMA technologies.

You will play a key role in architecting solutions that enable low-latency, high-throughput communication across GPU clusters while collaborating with various teams to ensure the success of large-scale AI initiatives.

Qualifications

• 10+ years of software engineering experience in distributed systems.
• Deep expertise in RDMA technologies.
• Experience in troubleshooting production systems.

Responsibilities

• Architect high-performance networking software for AI environments.
• Design RDMA-based communication infrastructure.
• Drive performance optimization across systems.

Skills

Complex technical problem-solving

System design scalability

Performance analysis

Excellent communication

Foundational technologies for AI

Education

Bachelor’s degree in Computer Science or related field

Advanced degree preferred

Tools

C/C++

RDMA Technologies (RoCE, InfiniBand)

Linux Systems

Job description

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.

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 platforms supporting next‑generation AI workloads.
• Build observability, monitoring, telemetry, and debugging capabilities for large‑scale distributed systems.
• Drive reliability, fault tolerance, and recovery mechanisms for mission‑critical AI infrastructure.
• Mentor engineers across the organization and provide technical leadership on complex cross‑functional initiatives.
• Influence engineering best practices, architecture reviews, and long‑term technology strategy.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field; advanced degree preferred.
• 10+ years of software engineering experience building distributed systems, networking software, or infrastructure platforms.
• Deep expertise in RDMA technologies including RoCE, InfiniBand, or equivalent high‑performance networking technologies.
• Strong experience developing networking software in C/C++.
• Experience designing and optimizing distributed communication frameworks and transport protocols.
• Solid understanding of operating systems, networking stacks, memory management, and performance optimization.
• Experience troubleshooting and optimizing large‑scale production systems.
• Demonstrated technical leadership driving architecture and execution across multiple teams.
• Strong knowledge of Linux systems and low‑level systems programming.

Preferred Qualifications

• Experience with collective communication libraries such as NCCL, RCCL, MPI, UCC, UCX, XCCL, or similar technologies.
• Experience building AI infrastructure supporting distributed training and inference workloads.
• Expertise in GPU networking technologies including GPUDirect RDMA and GPU‑aware communication stacks.
• Experience with congestion management, adaptive routing, traffic shaping, and network resiliency mechanisms.
• Familiarity with large‑scale GPU clusters consisting of hundreds to thousands of accelerators.
• Experience developing services and platforms operating directly over RDMA transports.
• Knowledge of distributed training frameworks such as PyTorch, DeepSpeed, Megatron‑LM, TensorFlow, or JAX.
• Experience with cloud infrastructure and large‑scale production service deployment.
• Familiarity with Kubernetes, containerized environments, and cloud‑native infrastructure.
• Experience leading architecture for highly available and performance‑critical systems.

Disclaimer: Certain U.S. based or U.S. customer or client‑facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

US: Hiring Range in USD from: $96,800 - $306,400 per year. May be eligible for bonus, equity, and compensation deferral.

Benefits

• 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. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

Career Level - IC5

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.