Senior Manager - AI Network Engineering

Oracle
Nashville, TN, United States
4 days ago
Apply on eeho.fa.us2.oraclecloud.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computer Clusters Communication Softwares Nvidia CUDA Computer Networks Databases Computer Engineering Network Congestion Distributed Computing Environment Distributed Systems Ethernet Network Interface Controllers
+11 more
Firmware PCI Express Remote Direct Memory Access Software Deployment Software Systems AI Infrastructure High Performance Computing Information Technology Hardware Infrastructure Oracle Cloud Infrastructure Cerner CCL

Job description

Oracle Cloud Infrastructure (OCI) is seeking a Senior Manager - AI Network Engineering to lead the strategy, engineering, and production readiness of high-performance networking technologies supporting large-scale AI infrastructure. This role will oversee NIC New Product Introduction (NPI) and Collective Communication Library (CCL) development, ensuring scalable, reliable, and high-performance communication across OCI GPU clusters. The Director will combine deep technical expertise with strong organizational leadership and cross-functional execution.

Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc.

  • Lead the end-to-end NPI lifecycle for current and next-generation high-performance NICs supporting OCI GPU and AI infrastructure, including architecture, qualification, performance, reliability, and production readiness.
  • Partner with NIC, GPU, silicon, and systems vendors and internal OCI teams to bring new networking technologies from early development through large-scale fleet deployment.
  • Build and lead the engineering organization responsible for OCI’s Collective Communication Library (CCL), defining its architecture, technical strategy, and performance roadmap.
  • Drive optimization of collective communication, RDMA, GPU networking, and topology-aware algorithms across servers, racks, clusters, and AI superclusters.
  • Own GPU cluster networking performance and develop benchmarking, modeling, and performance-analysis capabilities to identify and eliminate hardware and software bottlenecks.
  • Drive hardware/software co-design across NICs, firmware, drivers, network fabrics, runtimes, and collective communication software.
  • Establish automated qualification, regression, performance, reliability, and fault-testing processes to ensure cloud-scale production readiness.
  • Build and develop a high-performing engineering organization spanning NIC NPI, networking software, collective communications, systems, performance engineering, and validation.
  • Lead complex cross-functional programs, establish technical roadmaps and engineering metrics, manage external technology partnerships, and communicate technical strategy, risks, and results to senior OCI leadership.

Requirements

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • 15+ years of experience in systems, networking, distributed computing, HPC, GPU infrastructure, or related areas.
  • Significant experience leading engineering teams responsible for complex hardware/software systems.
  • Deep expertise in high-performance networking, including Ethernet, RDMA, RoCE, PCIe, DMA, and modern NIC architectures.
  • Strong knowledge of GPU systems, distributed GPU communication, collective communication algorithms, and large-scale distributed training or HPC systems.
  • Experience taking new hardware technologies from early engineering stages through qualification and large-scale production deployment.
  • Strong systems performance-analysis skills across hardware, firmware, operating systems, networking, runtimes, and applications.
  • Experience working with silicon vendors and leading complex cross-functional engineering programs.
  • Excellent technical and executive communication skills.
  • Experience with technologies such as NCCL, MPI, UCX, RDMA, RoCEv2, GPUDirect RDMA, CUDA, SmartNICs/DPUs, NIC firmware/drivers, congestion control, and large-scale AI cluster networking is highly desirable. Experience with GPU clusters containing thousands to tens of thousands of accelerators is strongly preferred.

About the company

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

Apply for this position

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Apply on eeho.fa.us2.oraclecloud.com
Prepare application

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