Senior HPC Storage Architect & Engineer

Apply for the Senior HPC Storage Architect & Engineer role at Lam Research
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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.

• 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).
• Net App & GIS
  
  Collaboration:
  
  Partner with the GIS Enterprise Storage team to leverage existing Net App ecosystems. Implement Net App Flex Cache 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:
  Harden 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 (Infini Band/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.

• 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.
• Net App Advanced
  
  Skills:
  
  Proficiency in Net App ONTAP, specifically for hybrid cloud workflows using Flex Cache, Snap Mirror, and Flex Clone.
• Infrastructure as Code (IaC):
  Ability to manage storage configurations using automation tools like Ansible, Terraform, or Salt Stack.
• Networking Knowledge:
  Deep understanding of HPC interconnects, including Infini Band, 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.

• Experience with Container Storage Interface (CSI) for running HPC workloads in Kubernetes.
• Relevant certifications (e.g., Net App Certified Data Administrator, VAST Data Specialist, or Red Hat Certified Architect).
• Experience with S3 Object Storage integration for long‑term archival and data tiering.

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