Hewlett Packard Enterprise Offices

Hewlett Packard Enterprise is headquartered in Houston and has 10 office locations.

OnSite Workplace

Employees work from physical offices.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ

Houston

11445 Compaq Center Dr, Houston, TX, United States, 77070

Alpharetta

Alpharetta, United States

Berkshire

Berkshire, GB - Winnersh Triangle 210 Wharfedale Road , , Berkshire, United Kingdom, RG41 5TP

Durham

Durham, United States

Fort Collins

Fort Collins, United States

Frisco

Frisco, United States

New York

New York, United States

Roseville

Roseville, United States

San Jose

San Jose, United States

Spring

Spring, United States

11 Hours AgoSaved
In-Office
3 Locations
Artificial Intelligence • Cloud • Information Technology • Consulting
Owns the strategy, roadmap, architecture, and launch of HPE Private Cloud AI capabilities spanning GPU compute, AI networking, Kubernetes, scheduling, multi-tenancy, agent runtimes, and AI software. Partners with NVIDIA, open-source communities, engineering, sales, marketing, and enterprise customers to define requirements, ship hardware-software solutions, and drive adoption, utilization, revenue, and time-to-value.
11 Hours AgoSaved
In-Office
6 Locations
Artificial Intelligence • Cloud • Information Technology • Consulting
Designs and operates production-grade agentic AI platforms with multi-agent orchestration, model-agnostic integrations, retrieval, asynchronous execution, evaluation, observability, and cloud-native deployment. Applies AI security practices including least privilege, sandboxing, authorization, secrets management, guardrails, prompt-injection protection, auditability, and policy enforcement. Requires deep expertise across agentic systems, system architecture, platform engineering, AI safety, or related disciplines.
Artificial Intelligence • Cloud • Information Technology • Consulting
Lead the architecture and engineering of production-grade agentic AI platforms for offensive cybersecurity operations. Design multi-agent workflows, execution harnesses, memory, tool calling, model routing, retrieval, and enterprise integrations. Establish security, evaluation, observability, reliability, and AI safety practices, including sandboxing, authorization, secrets management, guardrails, and defenses against prompt injection and data leakage. Mentor engineers, guide cross-functional architecture decisions, and communicate tradeoffs to senior leadership.