System Integration & Infrastructure Engineer (Advanced storage infrastructure for AI workloads)

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.

Description We are seeking a hands-on engineer to build, deploy, and maintain high-performance compute and storage infrastructure for AI workloads. The role spans the full stack from physical server and VM's bring-up, Linux operating system deployment and patching, network configuration, through high-performance networking technologies such as DPDK and RDMA, to the deployment and optimization of AI/LLM serving environments including vLLM, LMCache, etc. and performance tuning / benchmarking.

Responsibilities

• Rack, install, and commission physical servers and networking equipment in lab and production environments.

• Install, configure, and troubleshoot Linux-based operating systems and infrastructure services.

• Configure and validate network connectivity, including Ethernet fabrics, high-speed interconnects, routing, VLANs, and network security settings.

• Deploy, tune, and troubleshoot high-performance networking technologies, including, but not limited to:

• DPDK

• RDMA / RoCE

• SR-IOV

• Perform server validation, benchmarking, performance characterization, and system health monitoring.

• Bring up and maintain distributed application environments and AI infrastructure stacks.

• Deploy, configure, and optimize LLM serving platforms such as:

• vLLM

• LMCache

• Model serving frameworks

• GPU software stack and drivers

• Collaborate with hardware, software, networking, and AI engineering teams to optimize end-to-end system performance.

• Develop automation scripts and deployment tools for infrastructure provisioning and validation.

• Debug complex issues spanning hardware, operating systems, networking, storage, and application layers.

• Document deployment procedures, best practices, and operational runbooks.

Mandatory

• Experience bringing up and configuring physical servers and data center infrastructure.
• Strong hands-on experience with Linux system administration and troubleshooting, including Linux kernel patching and configuration
• Solid understanding of networking fundamentals and high-speed network technologies.
• Experience with DPDK, RDMA/RoCE, SR-IOV, or similar performance-oriented networking technologies.
• Familiarity with server hardware, BIOS/UEFI/Firmware configuration, NICs, storage devices, and system validation.
• Experience deploying and operating distributed applications in Linux environments.
• Proficiency in scripting and automation using Python, Bash, or similar languages.
• Strong analytical and troubleshooting skills across multiple technology domains.

Preferred

• Experience with GPU/DPU-based systems and AI infrastructure.
• Familiarity with vLLM, LMCache or alike
• Familiarity with Kubernetes, Docker, or other containerized deployment environments.
• Experience with performance analysis and benchmarking tools.
• Knowledge of storage technologies, NVMe, high-performance filesystems, and distributed storage systems.
• Background in AI/ML infrastructure, model serving, or large-scale distributed systems.
• Familiarity with the SW aspects of SoC bring-up

Ideal Candidate The ideal candidate is a hands-on, systems-oriented engineer who enjoys taking a system from bare metal to a fully operational high-performance AI platform.

He is comfortable working across hardware, Linux, virtualization, networking and application layers

and thrives on solving complex integration and performance challenges.

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.