Senior Storage and Networking Product Engineer

NVIDIA • Santa Clara, CA

105d • $168,000 - $264,500

About The Position

At NVIDIA, we are pioneers in making the impossible achievable, particularly within AI, ML, and HPC. Joining our team as a Storage & Networking Product Engineer involves being part of a group that fosters the development of highly available, high-performance infrastructure. This role is vital for the flawless operation of NVIDIA’s innovative compute platforms, integrating storage systems and advanced networking technologies. If you excel in ensuring low latency, high efficiency, and scalability, this is the opportunity to redefine data movement, system resilience, and automation!

Requirements

• BS/MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• 12+ years of experience in storage systems engineering, production infrastructure, or large-scale data center operations.
• Deep knowledge of networking protocols and technologies: TCP/IP, Ethernet, InfiniBand, RDMA, RoCE, NVMe-oF, Fibre Channel.
• Hands-on experience with high-performance storage systems: Lustre, GPFS, Ceph, distributed object storage, enterprise SAN/NAS.
• Expertise in Linux systems engineering, including tuning, performance analysis, and debugging.
• Skilled in coding/scripting using Python, Bash, Go, or C/C++ to automate, monitor, and optimize performance.
• Experience with configuration management/orchestration tools (Ansible, Terraform, Puppet, Chef, Kubernetes).
• Familiarity with observability stacks (Prometheus, Grafana, Elastic, InfluxDB) to monitor and optimize storage and network performance.
• Proficient in recognizing and resolving complex system bottlenecks within storage and networking layers.

Nice To Haves

• Experience crafting and operating RDMA-accelerated HPC/AI clusters at scale, with hands-on expertise with network topologies and large-scale switch/router deployments.
• Familiarity with network telemetry, packet capture tools (sFlow, NetFlow, Wireshark) and proven history of capacity planning and optimizing performance for distributed storage systems over high-speed networks.
• Background in jointly developing storage networks for AI/ML training pipelines, large-scale inference, and RAG workflows.
• Proficiency in hybrid cloud storage and networking solutions (like Kubernetes CSI, cloud-native fabrics, and hybrid on-prem/cloud setups).
• Contributions to open-source networking or storage projects.

Responsibilities

• Architect, deploy, and maintain distributed storage clusters with a focus on scalable performance and data durability.
• Develop and improve high-performance networking architectures for storage environments, ensuring low-latency data paths for AI/ML and HPC workloads.
• Configure and tune RDMA, NVMe-over-Fabrics, RoCE, InfiniBand, and Ethernet-based fabrics for maximum performance.
• Partner with GPU, networking, and systems teams to ensure seamless end-to-end performance across the full stack.
• Develop automated systems for monitoring, recording, and notifying in storage and networking.
• Build and maintain capacity planning models for network efficiency and storage growth.
• Troubleshoot complex network-storage interactions, including bottlenecks in distributed filesystems, parallel storage, and interconnects.
• Implement data protection and compliance controls such as encryption in-transit, access control, and auditing.
• Foster automation in storage and networking operations through the utilization of infrastructure-as-code and orchestration guided by AI/ML.

Benefits

• Base salary range is 168,000 USD - 264,500 USD.
• Eligible for equity and benefits.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees