Technical Marketing Engineer – AI, On-Premises Object Storage

Hewlett Packard Enterprise

. Serve as the technical champion for HPE’s secure, localized object storage solutions .

Posted 10/27/2026full-timeUnited StatesSeniorLead💰 $157,000 - $361,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure object storage solutions, with a strong focus on AI/ML workflows and technical content creation. Proficient in collaborating with cross-functional teams to deliver innovative infrastructure solutions and mentor less-experienced engineers.

Highest-signal resume keywords

S3 API-Based Object StorageAI/ML Training WorkflowsTechnical WritingDistributed Storage SystemsBenchmarking and Load Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoApache IcebergDelta LakeParquetErasure CodingReplicationMetadata ManagementContainer Storage InterfaceBenchmarking Tools

Soft Skills

CollaborationMentoringPresentationStakeholder Management

Tools & Technologies

DockerKubernetesJupyter NotebooksFioWarpMdtestInfiniBandRoCE/RDMA100GbE to 400GbE EthernetAI Compute Infrastructure

Industry Keywords

Technical MarketingSystems EngineeringStorage EngineeringInfrastructure ArchitectureData Lakehouse Architectures

Tech Stack

Tools & technologies

ApacheDockerFlashKubernetesNode.jsPythonPyTorchRayTensorflowGo

About the role

Key responsibilities & impact

Serve as the technical champion for HPE’s secure, localized object storage solutions
Design, build, and maintain demonstration environments, infrastructure blueprints, hardware sizing guides, and validated reference architectures combining on-premises object storage with AI compute infrastructure
Develop AI/ML benchmark workflows, proof-of-concepts, and Jupyter notebooks for data preparation, ingestion, checkpointing, and large-scale unstructured data processing
Create technical whitepapers, deployment guides, solution briefs, competitive analyses, technical videos, and other technical content
Deliver technical enablement for Solutions Architects, Sales Engineers, channel partners, and customers
Evaluate storage I/O behavior, bottlenecks, scaling limitations, and workload performance using benchmarking tools and custom load generators
Provide field-driven technical feedback to Product Management and Storage Engineering
Mentor less-experienced engineers and contribute to software systems design, infrastructure automation, and technical innovation
Collaborate with enterprise architects, data scientists, infrastructure engineers, Solutions Architects, Sales Engineers, channel partners, Product Management, and Storage Engineering

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience
Typically 10+ years of experience in technical marketing, systems engineering, storage engineering, infrastructure architecture, or a related technical field
Deep experience with S3 API-based object storage, including bucket policies, lifecycle management, object locking, and multi-tenant data isolation
Strong understanding of data lakehouse architectures and Apache Iceberg, Delta Lake, and Parquet
Practical experience designing or operating distributed storage systems, including erasure coding, replication, metadata management, and cluster scaling
Experience with AI/ML training workflows and PyTorch, TensorFlow, Ray, or Hugging Face Transformers
Proficiency in Python or Go
Demonstrated success in technical writing, public speaking, technical video creation, customer enablement, or explaining complex infrastructure topics
Strong understanding of AI data ingestion, data preparation, checkpointing, caching, and storage throughput requirements
Knowledge of enterprise hardware sizing, including node density, CPU and RAM configurations, NVMe flash tiers, GPU clusters, and storage fabrics
Familiarity with InfiniBand, RoCE/RDMA, and 100GbE to 400GbE or higher Ethernet environments
Experience with Docker, Kubernetes, and Container Storage Interface (CSI) integrations
Expertise in benchmarking and load testing with fio, warp, mdtest, or custom workload generators
Ability to analyze performance data and communicate storage behavior, scalability, and optimization opportunities clearly
Excellent collaboration, mentoring, presentation, technical writing, and stakeholder management skills
Ability to translate complex infrastructure and AI/ML concepts into technical narratives, validated solutions, and practical customer guidance

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace culture
Reasonable accommodation during the application or interview process for applicants with disabilities