Skip to content

Open nowPosted 108 days ago

Lustre Storage Administrator (Research & HPC Data Platforms)

Stanford49 open roles

Where
Stanford, CA, United States
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLustre Storage Administrator (Research & HPC Data Platforms)Stanford · Stanford, CA, United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Stanford's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Stanford postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 108 days ago

Stanford median: 4 days open

The posting

Job Description

Reports to: Research & HPC Data Platforms Team Lead

The Opportunity

Stanford’s Research Computing team is seeking a storage expert to join our Research & HPC Data Platforms group. This is a flexible-level posting; we are seeking an HPC Data Storage Administrator (Research & HPC Data Platforms) to maintain and expand our current world-class infrastructure. You will work directly with our research and HPC data platforms team lead to manage a diverse environment of more than 100PB and 5 billion files, including high-speed Lustre, MinIO object storage, and Lustre HSM, among other platforms.

Why Stanford? You aren't just managing a storage cluster; you are a part of a data and storage ecosystem that supports Nobel-caliber research across all disciplines.

Storage Architect Key Responsibilities

  • Architecture: Adapt and evolve the technology designs of existing systems to meet the needs of future computing platforms and research aims.
  • Platform Management: Deliver on the scaling, reliability, security, compliance, operations, and lifecycle management of our primary research computing storage platforms, including for high-risk data.
  • Tiered Storage Architecture: Oversee the integration of Lustre HSM on the Elm platform, managing data movement policies between parallel filesystems and MinIO object storage.
  • Performance Engineering: Tune I/O for large-scale High Performance Computing and AI workloads.
  • Community Stewardship: Represent Stanford within the Lustre community and other key community groups, contributing to the upstream roadmap and maintaining a vendor-neutral storage strategy.

Required Qualifications

  • Education: Bachelor’s degree and eight years of relevant experience, or a combination of education and relevant experience.
  • Expertise at Scale: 8+ years of hands-on experience architecting, building, and managing Lustre and ZFS or similar filesystems at the 20PB+ scale.
  • Object Storage & HSM: Deep technical fluency in MinIO and Lustre HSM (copytools, policy engines like RobinHood) or similar tools.
  • Kernel & Network Mastery: Expert-level knowledge of the Linux kernel and large-scale InfiniBand/Ethernet fabric tuning.
  • In-depth Troubleshooting Experience: Must be capable of leading the debugging of issues such as kernel panics, LNet congestion, and metadata bottlenecks.
  • Leadership: Proven experience mentoring junior admins and leading large-scale migration projects without data loss.
  • Communication: Strong written and verbal communication skills.

Senior Storage Systems Administrator Key Responsibilities

  • Platform Management: Contribute to the scaling, reliability, security, compliance, operations, and lifecycle management of our primary research computing storage platforms, including for high-risk data.
  • Operational Excellence: Perform complex filesystem upgrades, kernel patches, and hardware refreshes with minimal downtime.
  • Monitoring & Telemetry: In collaboration with others, build and maintain sophisticated observability stacks for real-time I/O tracking and trend analysis.
  • User Support: Act as an escalation point for researchers struggling with complex I/O patterns, job failures, or data access issues.
  • Maintenance: Manage the physical and logical health of the storage fleet, including RMA processes, firmware updates, and disk replacement cycles.

Required Qualifications

  • Experience: 5+ years of Linux Systems Administration, with 3+ years specifically in an HPC or large-scale data environment.
  • Technical Stack: Strong hands-on experience with Lustre, ZFS, MinIO, and/or similar technologies.
  • Scripting: Advanced proficiency in scripting languages for automating routine storage tasks and parsing system logs.
  • Hardware Mastery: Comfortable with the physical aspects of the role—diagnosing hardware failures and understanding power/cooling requirements for high-density storage.
  • Communication: Strong written and verbal communication skills.

Qualifications:

Physical Requirements*:

  • Constantly perform desk-based computer tasks.
  • Frequently sit, grasp lightly/fine manipulation.
  • Occasionally stand/walk, writing by hand.
  • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.

* Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.

Working Conditions:

  • May work extended hours, evenings, and weekends.

Work Standards:

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $150,289 to $171,674 per annum.

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Stanford's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Stanford's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Stanford's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.