Systems Architect: Memory Wall Exploration at HP - ScoutJobs - The AI-curated global job board
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HP
Posted a day ago

Systems Architect: Memory Wall Exploration

HPSystems Architect: Memory Wall Exploration

Perks & benefits

Health InsuranceMedical InsurancePaid Leave

Requirements

M.Sc. in Computer or Electrical Engineering, Systems performance background, Memory hierarchy knowledge, Heterogeneous compute experience, C/C++ proficiency, Python scripting

Skills

Machine LearningC#

About the role

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, including foreground and background activity interactions
  • Identify sources of performance variability and degradation in multitasking scenarios
  • Optimize data movement between CPUs, GPUs, and memory (DRAM, HBM, CXL) to overcome memory wall bottlenecks
  • Translate memory and system-level constraints into actionable guidance for platform architecture, runtime, and power teams
  • Define execution envelopes and tradeoffs to improve AI experience predictability
  • Collaborate with internal teams and external ecosystem partners, including memory and silicon vendors, to align on platform roadmaps and capabilities
  • 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 with heterogeneous compute environments (CPU, GPU, accelerators)
  • Proficiency in C/C++ and Python scripting for modeling and analysis
  • Experience with Machine Learning hardware acceleration and processing-in-memory (PIM) techniques

Preferred Qualifications

  • Experience with client platforms (PC, mobile, embedded) and on-device AI inference workloads
  • Knowledge of low-power design and power-sensitive system design
  • Experience with performance analysis tools, telemetry, and data-driven evaluation
  • Prior experience engaging with memory or silicon vendors in a technical capacity
  • Experience with architectural simulators such as GEM5 or Sniper

Benefits

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

About the Company

At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. Operating in over 170 countries, HP is always creating new services, products, and capabilities, giving you more opportunities to advance your career. We foster a culture of collaboration and innovation where every voice matters.

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Systems Architect: Memory Wall Exploration

HP · Spring

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