Principal Engineer - AI Networking

** 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.

This is a hands-on engineering role requiring deep technical expertise, strong software development skills, and a passion for solving complex performance and scalability challenges.

** 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*
* ** Key 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 Infini Band.

+ 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, Deep Speed, Megatron-LM, Tensor Flow, 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.*
* ** Range and benefit information provided in this posting are specific to the stated locations only*
* US:
Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary…