Systems Architect: Memory Wall Exploration

Responsibilities

• Analyze how AI workloads interact with system resources across CPU, GPU, and AI accelerators
• Evaluate the impact of memory bandwidth, latency, contention, and data movement on performance and power efficiency
• Characterize workload behavior in shared-memory systems to identify sources of performance variability
• Translate memory and system-level constraints into actionable guidance for platform architecture and runtime teams
• Define execution envelopes and tradeoffs to improve AI experience predictability
• Collaborate with internal teams and external silicon/memory vendors to align on platform strategy and roadmaps
• Assist in defining internal tools, metrics, and evaluation methods for assessing AI workload behavior

Requirements

• M.Sc. in Computer Engineering, Electrical Engineering, or a related discipline
• Strong background in systems performance, platform architecture, or runtime behavior
• Solid understanding of memory hierarchy (DRAM, SRAM, cache) and interconnect protocols (CXL, PCIe)
• Experience working with heterogeneous compute environments (CPU, GPU, accelerators)
• Proficiency in C/C++ and Python scripting for modeling and analysis
• Ability to translate low-level technical constraints into system-level strategic guidance

Preferred Qualifications

• Experience with client platforms (PC, mobile, embedded) and on-device AI inference workloads
• Knowledge of Machine Learning hardware acceleration and processing-in-memory (PIM) techniques
• Experience with architectural simulators such as GEM5 or Sniper
• Background in power- and performance-sensitive system design

Benefits

• Health, dental, and vision insurance
• Long term and short term disability insurance
• Generous time off policies, including 11 paid holidays
• 4-12 weeks of fully paid parental leave based on tenure
• Employee assistance program and flexible spending accounts

About the Company

HP is a global technology leader dedicated to creating meaningful innovation. We believe in working together to accomplish collective goals and uphold a culture of respect and inclusion.