Pure Storage

Senior Storage Benchmarking Engineer

Santa Clara, California · Senior

Sponsorship not specified$186k-$279kDetected 25 days ago

PythonBashDistributed SystemsAWSGCPAzureDockerAnsibleMachine LearningData AnalysisData EngineeringData VisualizationRAGAccessibilityExcelElectrical EngineeringCommunicationCollaborationPublic SpeakingWriting

About the role

As AI has made storage a first-order bottleneck in the GPU data path, this role sits at the intersection of high-performance storage and large-scale AI infrastructure.

Responsibilities

Build robust automation so labs can be rapidly configured and reconfigured to meet the demands of different benchmarks.
Design and execute storage performance benchmarks using industry-standard tools and methodologies, including fio, vdbench, SPEC SFS 2020, IO500, and SPC-1/SPC-2 (or similar).
Design and execute AI/ML storage benchmarks, including MLPerf Storage, DLIO, and representative AI workloads - model training and checkpointing, inference and data ingest, RAG/vector-database access patterns, and GPU-driven I/O paths (e.g., GPUDirect Storage, NFS/RDMA).
Perform end-to-end performance troubleshooting and debugging across compute, GPU, network, and storage components to pinpoint and resolve bottlenecks and achieve best-in-class results.
Develop and maintain automated benchmarking workflows using tools like Ansible, Python, or Bash to ensure rapid provisioning and efficient, repeatable, reproducible results.
Analyze benchmark results, generate detailed reports, and deliver actionable insights to engineering teams for product optimization.
Collaborate with engineering, product management, marketing, and sales to align benchmarking efforts with product goals and customer needs.
Engage directly with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons) and communities to influence methodologies, drive submissions, and stay ahead of industry and AI infrastructure trends.
Write technical marketing documents, whitepapers, and performance summaries to support product launches and customer engagement.
Maintain comprehensive documentation of benchmarking processes, configurations, and results.

Requirements

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
5+ years of experience in storage performance benchmarking or a related technical role.
Proven expertise with storage benchmarking tools, including:
Hands-on experience with automation tools (e.g., Python, Ansible, Bash) for test orchestration and data collection.
Demonstrated track record of interfacing with engineering, product management, marketing, and sales teams.
Proficiency in data analysis and visualization tools (e.g., Python, R, Sheets, Excel, Tableau).
Deep understanding of and hands-on proficiency with enterprise storage technologies (e.g., NVMe, NVMe-oF, SSDs, and scale-up and scale-out block/file/object storage and distributed systems).
Experience with Everpure Storage products (e.g., FlashArray, FlashBlade) or similar enterprise block, file, and object storage platforms.
Familiarity with cloud storage (e.g., AWS S3, Azure Blob, Google Cloud Storage) and HPC or AI training environments.
Experience benchmarking AI/ML storage workloads, such as MLPerf Storage, DLIO, or characterizing storage for GPU-based training and inference pipelines (data ingest, checkpointing, GPUDirect Storage, RDMA-based access). (Strongly preferred)
Strong end-to-end performance tuning and troubleshooting skills across compute, network, and storage layers - and ideally GPU/accelerator data paths.
Direct engagement with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons) and storage benchmarking communities.
Exceptional communication skills, with a proven ability to deliver engaging technical briefs and presentations to technical and non-technical audiences.
Strong writing skills, ideally authoring technical marketing documents, whitepapers, or performance summaries.

Nice to have

Familiarity with high-speed networking and GPU fabrics (e.g., InfiniBand, RoCE, NVLink) as they relate to storage performance. (Preferred)

Compensation

$186,000 - $279,000 USD

Benefits

We are primarily an in-office environment, and you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, work travel, or other approved leave.

Company info

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry.
Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work-work that changes the world-is what the tech industry was founded on.
So, if you're ready to seize the endless opportunities and leave your mark, come join us.
We're forging a future where everyone finds their rightful place and where every voice matters.
Where uniqueness isn't just accepted but embraced.
That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Deliver high-impact presentations to internal teams, customers, and external stakeholders, translating complex technical data into clear narratives.

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