HPE
Technical Marketing Engineer (TME) for AI & On-Premises Object Storage
$157K–$361K
Durham, North Carolina, United States of America +2 · Full-time · Posted Oct 27, 2026
- Location
- Durham, North Carolina, United States of America
Spring, Texas, United States of America
Andover, Massachusetts, United States of America - Experience
- Typically 10+ years in technical marketing, systems engineering, storage engineering, infrastructure architecture, or a related technical field.
- Education
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
About the job
Creates and validates technical demonstrations, architectures, benchmarks, and customer-facing content for HPE on-premises object storage and AI infrastructure.
What you'll do
- Build demonstrations, proof-of-concepts, infrastructure blueprints, and validated reference architectures combining on-premises object storage and AI compute.
- Develop AI/ML benchmark workflows and explain storage performance through technical content and customer enablement.
- Analyze storage performance and provide technical feedback to Product Management and Storage Engineering.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
- Deep experience with S3 API-based object storage and practical experience designing or operating distributed storage systems.
- Experience with AI/ML training workflows and frameworks such as PyTorch, TensorFlow, Ray, or Hugging Face Transformers.
- Proficiency in Python or Go; demonstrated success in technical communication, writing, speaking, video creation, or customer enablement.
Nice to have
- Understanding of data lakehouse architectures and formats such as Apache Iceberg, Delta Lake, and Parquet.
- Experience with Docker, Kubernetes, CSI, and benchmarking tools such as fio, warp, or mdtest.
Pay
USD 178,000 - 339,000 base salary in Massachusetts; USD 157,000 - 361,000 base salary in North Carolina & Texas
Tools
S3 API, Apache Iceberg, Delta Lake, Parquet, PyTorch, TensorFlow, Ray, Hugging Face Transformers
AI focus
Develops and demonstrates AI/ML workflows and benchmarks for data preparation, ingestion, checkpointing, and large-scale unstructured data processing on on-premises object storage.
Model-written summary · the original posting is authoritative