Senior Manager - AI Network Engineering

Oracle; Nashville (TN); On-site; USD 170,000 - 355,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off and holidays

Employee stock purchase plan

Assistance programs

Job summary

Oracle is seeking a senior engineering leader to manage a team delivering high-performance NIC software for OCI GPU and AI infrastructure. Responsibilities include architecture, qualification, performance, and production readiness across devices and software stacks.

You will partner with silicon vendors and internal teams to deploy new networking technologies at cloud scale, and drive roadmaps for collective communication libraries and GPU cluster networking.

Qualifications

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 15+ years in systems, networking, HPC or GPU infrastructure.
• Experience leading engineering teams on complex hardware/software systems.
• Deep expertise in high-performance networking: Ethernet, RDMA, RoCE, PCIe, DMA.

Responsibilities

• Lead end-to-end NPI lifecycle for NICs for OCI GPU and AI infrastructure.
• Partner with NIC/GPU vendors and OCI teams to scale deployment.
• Build and lead org for Collective Communication Library (CCL).
• Drive optimization of GPU networking and topology-aware algorithms.

Skills

Leadership

NPI management

Networking

GPU infrastructure

Distributed systems

CUDA

NCCL

MPI

UCX

RDMA

RoCEv2

GPUDirect RDMA

NIC firmware

Education

BS/MS in CS/CE/EE or related

Tools

NCCL

MPI

UCX

RDMA

RoCEv2

GPUDirect RDMA

CUDA

Job description

Job Description

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

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 - $355,400 per year. 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.

Benefits

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
• 11 paid holidays
• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - M3

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