Senior HPC Storage Architect & Engineer
About The Position
The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. We are seeking a Senior HPC Storage Engineer to architect and manage the next generation of high-performance data platforms. You will be responsible for the full lifecycle—specification, build, and operation, of both on-premises and cloud-based HPC storage. This role requires deep technical mastery of traditional parallel file systems and modern "all-flash" software-defined storage. You will serve as a lead architect, ensuring that all storage solutions are designed for extreme performance, 99.99% availability, and future scalability while strictly adhering to corporate security and governance standards.
Requirements
- Experience: Bachelor’s degree with 12 years’ related experience; Master’s degree with 8 years’ ; or a PhD with 5 years’ experience; or equivalent experience.
- 10+ years in Storage Engineering, with at least 6 years dedicated to HPC environments.
- Parallel File System Mastery: Expert-level experience in deploying and tuning Lustre or IBM Spectrum Scale (GPFS) at scale (Petabyte+ environments).
- Modern Storage Expertise: Proven track record with VAST Data or WEKA, specifically in high-performance NVMe/Flash-first environments.
- NetApp Advanced Skills: Proficiency in NetApp ONTAP, specifically for hybrid cloud workflows using FlexCache, SnapMirror, and FlexClone.
- Infrastructure as Code (IaC): Ability to manage storage configurations using automation tools like Ansible, Terraform, or SaltStack.
- Networking Knowledge: Deep understanding of HPC interconnects, including InfiniBand, RoCE, and high-speed Ethernet (100 GbE+).
- Security Mindset: Demonstrated ability to implement storage security best practices, including Kerberos, LDAP integration, and SEC-compliant data immutability.
Nice To Haves
- Experience with Container Storage Interface (CSI) for running HPC workloads in Kubernetes.
- Relevant certifications (e.g., NetApp Certified Data Administrator, VAST Data Specialist, or Red Hat Certified Architect)
- Experience with S3 Object Storage integration for long-term archival and data tiering.
Responsibilities
- Architectural Leadership & Specification: Design and specify large-scale storage architectures for specialized HPC workloads. This includes evaluating and selecting between traditional parallel file systems (Lustre, GPFS/Spectrum Scale) and modern, high-concurrency platforms like VAST Data or WEKA.
- Hybrid Cloud Integration: Build and operate automated data pipelines between on-premises infrastructure and cloud platforms (AWS, Azure, or GCP).
- NetApp & GIS Collaboration: Partner with the GIS Enterprise Storage team to leverage existing NetApp ecosystems. Implement NetApp FlexCache to provide globally distributed access to datasets, ensuring low-latency performance for remote HPC nodes.
- Data Mobility & Automation: Design and implement automated replication, auto-migration, and tiered storage workflows to ensure data is available where it is needed most without manual intervention.
- Security & Compliance: Hardened storage systems in accordance with Lam Research Security Guidelines, ensuring data encryption at rest/in transit, multi-tenancy isolation, and robust access controls.
- Scalability & Performance Engineering: Perform rigorous benchmarking (IOR, FIO, MDTest) to identify and eliminate bottlenecks. Ensure the storage fabric (InfiniBand/HDR/NDR and NVMe-over-Fabrics) is tuned for maximum throughput and IOPS.
- Availability & Disaster Recovery: Design high-availability (HA) configurations that eliminate single points of failure, ensuring mission-critical research and engineering data is always accessible.
Benefits
- At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
