Systems Architect Memory Wall Exploration

Description -

Job Summary:

The Systems Architect: Memory Wall Exploration focuses on understanding how AI execution interacts with platform resources particularly memory hierarchy data movement and shared-memory behavior across heterogeneous compute environments (CPU GPU AI accelerators). The architect will engage with internal teams and external partners (including memory and silicon vendors) to translate low-level technical characteristics into system-level guidance and platform strategy for HP.

Platform Performance & Memory Analysis

• 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 workload performance responsiveness and power efficiency

• Characterize workload behavior in shared-memory systems including interactions between foreground and background activity

• Identify sources of performance variability and experience degradation under real-world multitasking scenarios.

• Overcome the performance bottleneck where processor speeds outpace memory bandwidth focusing on optimizing data movement between CPUs GPUs and memory (DRAM HBM CXL).

System-Level Guidance & Strategy

• Translate memory and system-level constraints into actionable guidance for platform architecture runtime power and performance teams

• Help define execution envelopes and tradeoffs (e.g. placement concurrency limits configuration sensitivity) that improve AI experience predictability

• Contribute to platform-level strategy by connecting technical constraints to user experience outcomes and product decisions
  

Cross-Functional & Ecosystem Collaboration

• Work closely with platform architecture runtime power/thermal and AI enablement teams within HP

• Engage with external ecosystem partners including memory and silicon vendors to:

  • Understand platform capabilities tradeoffs and roadmap directions

  • Evaluate how memory technologies and configurations affect real-world AI experiences

  • Translate partner insights into HP-specific system guidance and strategic recommendations

• Support technical alignment discussions
  

Platform Enablement

• Assist in defining internal tools metrics and evaluation methods for assessing AI workload behavior and memory sensitivity

• Contribute to documentation best practices and internal frameworks related to system-level AI performance

• Help scale AI experiences across a diverse portfolio of devices and SKUs
  

• Education: . in Computer Engineering Electrical Engineering or a related discipline.

• Strong background in systems performance platform architecture or runtime behavior

• Solid understanding of memory hierarchy and data movement in client or embedded systems (e.g. DRAM caches shared memory architectures). Strong knowledge of computer architecture specifically memory hierarchy (DRAM SRAM cache) interconnect protocols (CXL PCIe) and memory controllers.

• Experience with Machine Learning hardware acceleration and processing-in-memory (PIM) techniques.

• Knowledge of low-power design given the power wall constraint.

• Experience working with heterogeneous compute environments (CPU GPU accelerators)

• Ability to translate low-level technical constraints into system-level guidance and platform strategy

• Experience collaborating across hardware software and product organizations

• Strong technical communication skills including engagement with external partners

• Client platforms (PC mobile embedded) rather than exclusively datacenter or HPC environments

• On-device AI inference workloads

• Power- and performance-sensitive system design

• Performance analysis tools telemetry and data-driven evaluation

• Prior experience engaging with memory or silicon vendors in a technical or architectural capacity

• Programming: Proficiency in C/C and scripting languages (Python) for modeling and analysis.

• Simulation Tools: Experience with architectural simulators (e.g. GEM5 Sniper) and performance analysis.

Salary

The pay range for this role is$147050to$230850USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location job-related knowledge skills and experience.

Benefits:

HP offers a comprehensive benefits package for this position including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time with or without notice subject to applicable law.

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal