Senior Manager AI Network Engineering

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 OCIs 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.

Qualifications
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: $169800 to $355400 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 Oracles 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 term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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