Networking Software Expert, RDMA/RoCE – Next-Generation AI Infrastructure Storage Platform

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

We are building a next-generation storage platform for AI infrastructure that combines high-performance flash, accelerator technologies, and advanced storage software, with the goal of delivering a breakthrough step-function improvement in cost, power efficiency, density, and scalability for AI-era data-center storage.

We are seeking a Networking Software Expert, RDMA/RoCE to define and drive the low-latency network data path of this platform, enabling efficient scaling from node-level communication up to large-scale infrastructure deployment.

This role will work at the intersection of storage, networking, and system architecture, shaping how low-latency networking, advanced NIC technologies, software services, and hardware capabilities come together in a tightly optimized system. The role will also help strengthen Sandisk's broader data-center networking and distributed infrastructure architecture knowledge across the Architecture organization.

Responsibilities

Drive the low-latency networking software architecture and implementation for a groundbreaking storage platform targeting step-change improvements in cost, power, density, and scalability; Define and implement high-throughput, low-latency data paths across storage nodes and larger-scale deployments; Own the software architecture around advanced NIC integration, queueing models, completion handling, memory registration strategy, and zero-copy data movement; Analyze and optimize end-to-end network behavior, including latency, throughput, CPU efficiency, congestion sensitivity, and tail behavior under scale; Help define how data, metadata, and control-plane traffic are partitioned across the platform; Work closely with architecture, hardware, firmware, software, and silicon teams on HW/SW partitioning decisions and opportunities for networking acceleration; Drive performance bring-up and debugging on real high-speed Ethernet environments; Contribute to transport-level design decisions for multi-node communication and large-scale system scaling; Build and optimize robust software for error handling, recovery, observability, and production readiness in RDMA environments; Contribute to technical direction, coding standards, and architectural quality across the networking and storage stack

Requirements

8+ years of experience in high-performance networking, distributed systems, or low-latency infrastructure software; Strong hands-on experience with RDMA/RoCE software development in Linux environments; Deep experience with C/C++ and Linux systems programming; Strong understanding of RoCE/RDMA concepts including queue pairs, completion queues, low-latency transport, memory registration, and zero-copy data movement; Experience with high-speed Ethernet environments and performance tuning of low-latency data paths; Demonstrated expertise in performance analysis, bottleneck identification, profiling, and optimization under multi-node or large-scale conditions; Ability to debug complex issues across software, firmware, NIC/RNIC, and system-level integration boundaries; Strong collaborator with the ability to work across architecture, hardware, firmware, silicon, and software teams; Fluent English with the technical clarity and credibility required to work with technical stakeholders and partners

Nice to have

Experience with storage networking, NVMe-oF, or distributed infrastructure systems; Experience with DPU/SmartNIC environments and modern data-center NIC architectures; Experience with congestion-control tuning, telemetry, and large-scale network bring-up; Background in AI infrastructure, hyperscaler environments, or startup environments; Experience bringing complex infrastructure software from concept to production