Job Listing ID:

4562511

Job Title:

Senior Manager - AI Network Engineering

Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

09/03/2026

Hours Worked Per Week:

Not Provided

Shift:

Not Provided

Duration of Job:

Either Full or Part Time, more than 6 months

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Job Summary Job Description Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc. Responsibilities 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. Qualifications 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.

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: $169,800 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its... Computer Occupations, All Other

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Compensation

Not Provided

Job Requirements

Experience Required:

See Job Summary

Education Required:

None

Minimum Age:

N/A