Principal Engineer - AI Networking

Oracle; Seattle (WA); On-site; USD 114,600 - 234,600; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Flexible vacation policy

Paid parental leave

Job summary

Oracle is seeking an experienced RDMA software engineer to design and optimize infrastructure for AI workloads in Seattle. You will drive technical initiatives and work closely with senior technical leaders to enhance critical networking systems.

The ideal candidate should possess a strong background in networking, RDMA technologies, and software engineering. The role demands a Bachelor's degree and significant experience in distributed systems and performance-critical software environments.

Qualifications

• 7+ years of software engineering experience in systems software, networking, distributed systems, or infrastructure platforms.
• Strong hands-on expertise with RDMA technologies, including RoCEv2 and/or InfiniBand.
• Experience developing RDMA-enabled software, communication libraries, or distributed infrastructure.

Responsibilities

• Design and optimize RDMA-based software components and services for AI infrastructure.
• Build and enhance communication frameworks and libraries for distributed AI workloads.
• Analyze and improve communication performance across networking and software stacks.

Skills

Software engineering fundamentals

Systems programming

RDMA technologies

Problem-solving

Collaboration skills

AI infrastructure

Education

Bachelor's degree in Computer Science or related field

Tools

C/C++

Linux systems

Job description

Job Description: The ideal candidate is an experienced RDMA software engineer with a strong background in high‑performance networking, distributed communication systems, and systems programming. You will work closely with senior technical leaders to design, implement, optimize, and operate critical networking infrastructure used by large‑scale AI training and inference workloads.

What You'll Bring

• Strong software engineering fundamentals and systems programming expertise.
• Deep interest in RDMA, high‑performance networking, and distributed communication systems.
• Ability to diagnose and solve complex performance and scalability problems.
• Strong collaboration and communication skills in cross‑functional engineering environments.
• Ownership mindset with the ability to independently drive technical initiatives from design through production deployment.
• Passion for building infrastructure that enables next‑generation AI systems.

Responsibilities

• Design, develop, and optimize RDMA‑based software components and services for large‑scale AI infrastructure.
• Build and enhance collective communication frameworks, transport layers, and communication libraries used by distributed AI workloads.
• Develop congestion management, load balancing, resiliency, and failover capabilities for RDMA‑based networks.
• Analyze and improve communication performance across networking, GPU, and software stacks.
• Design and implement scalable distributed systems supporting AI training and inference environments.
• Collaborate with networking, AI infrastructure, hardware, and cloud platform teams to deliver high‑performance solutions.
• Investigate and resolve complex networking, performance, and reliability issues in production environments.
• Develop observability, telemetry, debugging, and performance analysis tools for distributed communication systems.
• Contribute to architectural design discussions and technical direction for networking platforms.
• Participate in code reviews and help maintain engineering excellence across the team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field; advanced degree preferred.
• 7+ years of software engineering experience in systems software, networking, distributed systems, or infrastructure platforms.
• Strong hands‑on expertise with RDMA technologies, including RoCEv2 and/or InfiniBand.
• Experience developing RDMA‑enabled software, communication libraries, networking services, or distributed infrastructure.
• Strong understanding of RDMA programming concepts, including queue pairs, completion queues, memory registration, verbs, and transport semantics.
• Proficiency in C/C++ and Linux systems programming.
• Experience debugging and optimizing performance‑critical software systems.
• Solid understanding of networking fundamentals, operating systems, and distributed systems concepts.

Preferred Qualifications

• Experience with collective communication frameworks and libraries such as NCCL, RCCL, MPI, UCX, UCC, XCCL, or similar technologies.
• Experience supporting AI/ML infrastructure and distributed training environments.
• Knowledge of GPUDirect RDMA and GPU‑aware communication technologies.
• Experience developing congestion management, traffic engineering, or network resiliency solutions.
• Familiarity with large‑scale GPU clusters and high‑performance computing environments.
• Experience building services and infrastructure operating directly over RDMA transports.
• Familiarity with distributed training frameworks such as PyTorch, DeepSpeed, Megatron‑LM, TensorFlow, or JAX.
• Experience with Kubernetes, containers, and cloud infrastructure platforms.
• Understanding of performance profiling and benchmarking tools for networking and distributed 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.

Benefits & Compensation

Hiring Range in USD: $114,600 - $234,600 per year. Eligible for bonus, equity, and compensation deferral. Comprehensive benefits include:

• 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 for salaried non‑overtime positions; accrued vacation for others with specified rates
• 11 paid holidays
• Paid sick leave: 72 hours upon hire, refreshed annually up to 112 hours
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal services
• Voluntary benefits including auto, homeowner and pet insurance

Career Level

IC4

Equal Employment Opportunity

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.