Senior HPC Storage Architect & Engineer

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.
Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.
Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Jul 29, 2026

Location:

Fremont, CA, US

Worker Category:
On-site Flex

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 supportusers 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 & Spec: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-premise 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: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 (
  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:10+ years in Storage Engineering, with at least 6 years dedicated to HPC environments.
• Experience in Cluster computing and Server, Storage and Networking components and HPC schedulers like SLURM and tools like xCAT and Warewulf
  .
• 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…