Host and Systems Performance Senior Manager

Job Title

Host and Systems Performance Senior Manager

Role Summary

Lead a team that measures, analyzes, and improves NIC, host, DOCA networking stack, and system-level performance across NVIDIA networking products and platforms. Work spans pre-silicon modeling, post-silicon bring-up, validation, characterization, and GA readiness.

This role requires cross-functional collaboration with hardware, firmware, software, architecture, validation, and product teams to set performance goals and drive product readiness for AI, HPC, cloud, and accelerated networking workloads.

Experience Level

Senior — requires at least 10 years of software engineering experience, including 4+ years in a leadership or management role.

Responsibilities

You will manage a performance engineering team and lead performance activities across the product lifecycle.

• Lead, coach, and develop engineers focused on NIC, host, DOCA stack, and system-level performance.
• Define performance test plans, methodologies, metrics, and success criteria for new networking technologies.
• Plan and guide pre-silicon and post-silicon performance analysis, benchmarking, profiling, and readiness reviews.
• Benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, storage, security, and host networking stacks.
• Identify bottlenecks across NIC/DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, and system architecture; lead root-cause analysis and mitigation planning.
• Coordinate cross-team alignment on performance goals and report technical findings to stakeholders.

Requirements

Must-have technical skills and leadership experience. Education requirements are summarized separately below.

• Proven experience in performance analysis, systems engineering, networking, or HPC/AI infrastructure.
• 10+ years of software engineering experience with 4+ years in a management or leadership role.
• Hands-on experience with system performance analysis, benchmarking, profiling, and root-cause analysis.
• Familiarity with high-performance networking technologies: RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL.
• Strong understanding of host architecture: CPUs, memory hierarchy, NUMA, PCIe, Linux OS, drivers, firmware, and DPU/NIC interactions.
• Experience creating performance test plans for pre-silicon and post-silicon phases.
• Programming/scripting proficiency in Python and Bash; C/C++ experience is beneficial.
• Clear technical communication and ability to work across engineering teams.

Nice-to-have:

• Experience with NIC or DPU architecture, networking offloads, or host datapath behavior.
• Familiarity with AI/HPC cluster performance, distributed training/inference, collective communication libraries, CUDA, or NCCL internals.
• Experience with Linux kernel networking, DPDK, OVS, storage acceleration, or security offloads.

Education Requirements

B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience; equivalent experience is explicitly accepted.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.