HP
Fellow, Integrated Solutions & Ecosystem Architecture
$350K–$450K
Palo Alto, California, United States of America +1 · Full-time · Posted Oct 14, 2026
- Location
- Palo Alto, California, United States of America
Spring, Texas, United States of America - Education
- Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience.
About the job
Leads partner architecture and ecosystem engineering for HP Personal Systems, aligning external technology roadmaps and HP teams to deliver integrated, multi-generation product architectures and capabilities.
What you'll do
- Lead architecture engagement and technical direction with strategic ecosystem partners; define partner requirements, interfaces, and commitments.
- Develop integrated technology roadmaps and drive cross-company workstreams from concept through engineering commitment and product adoption.
- Lead and mentor senior architects while shaping system architecture for next-generation AI and agentic computing.
What they ask for
- Exceptional technical leadership across complex, large-scale computing platforms or product ecosystems.
- Deep systems architecture expertise spanning several relevant areas, including silicon, operating systems, firmware, AI/ML systems, memory, security, cloud/edge computing, or hardware platforms.
- Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners.
- Proven ability to productize emerging technologies and negotiate technical tradeoffs across organizations.
Nice to have
- Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge, or large-scale device organizations.
- Experience with joint reference architectures, co-engineering programs, industry standards, or major partner-dependent initiatives.
Pay
$350,000 to $450,000 USD annually — base salary
Tools
silicon, operating systems, firmware, AI/ML systems, memory, security, cloud/edge computing, CPU/GPU/NPU
AI focus
Shapes next-generation AI and agentic computing architecture, including system-level integration of compute, memory, power, firmware, operating systems, AI runtimes, security, and device-edge-cloud capabilities.
Model-written summary · the original posting is authoritative