Principal Product Manager - AI Infra & Private Cloud

Hewlett Packard Enterprise; Spring (TX); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Career development programs

Inclusive culture and benefits

Job summary

Hewlett Packard Enterprise (HPE) seeks a Principal Product Manager to own a major slice of the Private Cloud AI platform—from GPU compute and AI fabric to the AI software stack used by developers daily. You will set the strategy, resolve trade-offs, and ship capabilities that differentiate HPE’s private cloud AI offering for enterprises.

Collaboration with NVIDIA and open-source ecosystems is essential. The role requires deep hands-on experience with AI compute infra, AI networking, Kubernetes,

Qualifications

• 10+ years in product mgmt, engineering or architecture with AI/ML or cloud infra focus.
• 5+ years owning AI/ML, HPC, or cloud infrastructure products.
• Hands-on depth in AI compute infra (NVIDIA GPUs, sizing for training/inference).
• Hands-on depth in AI networking (RDMA, RoCE, InfiniBand).
• Experience with Kubernetes operations in multi-tenant clusters.
• Track record shipping complex hardware+software solutions to enterprises.
• Bachelor’s in CS/Engineering or equivalent experience.

Responsibilities

• Own strategy and roadmap for Private Cloud AI area (GPU, networking, AI software).
• Define platform across GPU configs, fabrics, storage, Kubernetes orchestration.
• Drive GPU features to raise utilization and time-to-value.
• Lead agent runtimes and model serving within the platform.
• Partner with NVIDIA and open-source ecosystems on designs and releases.
• Turn customer workloads into crisp PRDs and drive end-to-end launches.

Skills

AI/ML leadership

Cloud infra

Kubernetes

GPU infra

Multi-tenant

Stakeholder comms

Education

Bachelor’s degree in CS/Engineering

Tools

NVIDIA Spectrum-X

InfiniBand

OpenShell/NemoClaw

NVIDIA GPU platforms

Job description

Hewlett Packard Enterprise (HPE) seeks a Principal Product Manager to own a major slice of the Private Cloud AI platform—from GPU compute and AI fabric to the AI software stack used by developers daily. You will set the strategy, resolve trade-offs, and ship capabilities that differentiate HPE’s private cloud AI offering for enterprises.

Collaboration with NVIDIA and open-source ecosystems is essential. The role requires deep hands-on experience with AI compute infra, AI networking, Kubernetes,