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: $99,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

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

1.
Medical, dental, and vision insurance, including expert medical opinion

2.
Short term disability and long…