Senior HPC Storage Architect & Engineer at Lam Research

Fremont, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

253000.0

Posted On

08 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

HPC Storage, Cloud Platforms, Parallel File Systems, Data Pipelines, NetApp, Automation, Security, Performance Engineering, Disaster Recovery, Infrastructure as Code, Networking, Container Storage Interface, S3 Object Storage, Data Mobility, High Availability, Data Encryption

Industry

Semiconductor Manufacturing

Description

The group you’ll be a part of 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. The impact you’ll make 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. What you’ll do 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. Who we’re looking for 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. Preferred qualifications 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. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. #LI-RSC1 Salary Salary Range for this position: $114,000.00 - $253,000.00. The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors. Our Perks and 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.

Responsibilities

Architect and manage high-performance data platforms, overseeing the full lifecycle of HPC storage solutions. Ensure storage systems are designed for extreme performance, availability, and scalability while adhering to security standards.