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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager - AI Network Engineering - **Company:** Oracle - **Location:** Helena, MT, United States - **Experience:** Expert - **Salary:** $169,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Clusters, Communication Softwares, Nvidia CUDA, Computer Networks, Databases, Computer Engineering, Network Congestion, Distributed Computing Environment, Distributed Systems, Ethernet, Network Interface Controllers, 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 - **Published:** September 3, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3375481554&tx=DT10798UYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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. ## Description 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. ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Agent Smith Gets Hardware: Autonomous IoT Hacking From Debug Port to Cloud API](https://www.wearedevelopers.com/videos/100258-agent-smith-gets-hardware-autonomous-iot-hacking-from-debug-port-to-cloud-api) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)