{"schemaVersion":"jobsearcher.job.v1","id":"75c3b1606bfbfc63946480da","url":"https://jobsearcher.com/jobs/75c3b1606bfbfc63946480da","canonicalUrl":"https://jobsearcher.com/jobs/75c3b1606bfbfc63946480da","title":"Systems Architect: Memory Wall Exploration","description":"Job SummaryThe 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.Key ResponsibilitiesPlatform Performance & Memory AnalysisAnalyze how AI workloads interact with system resources across CPU, GPU, and AI acceleratorsEvaluate the impact of memory bandwidth, latency, contention, and data movement on workload performance, responsiveness, and power efficiencyCharacterize workload behavior in shared-memory systems, including interactions between foreground and background activityIdentify 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 & StrategyTranslate memory and system-level constraints into actionable guidance for platform architecture, runtime, power, and performance teamsHelp define execution envelopes and tradeoffs (e.g., placement, concurrency limits, configuration sensitivity) that improve AI experience predictabilityContribute to platform-level strategy by connecting technical constraints to user experience outcomes and product decisionsCross-Functional & Ecosystem CollaborationWork closely with platform architecture, runtime, power/thermal, and AI enablement teams within HPEngage with external ecosystem partners, including memory and silicon vendors, to:Understand platform capabilities, tradeoffs, and roadmap directionsEvaluate how memory technologies and configurations affect real-world AI experiencesTranslate partner insights into HP-specific system guidance and strategic recommendationsSupport technical alignment discussionsPlatform EnablementAssist in defining internal tools, metrics, and evaluation methods for assessing AI workload behavior and memory sensitivityContribute to documentation, best practices, and internal frameworks related to system-level AI performanceHelp scale AI experiences across a diverse portfolio of devices and SKUsQualificationsEducation: M.Sc. in Computer Engineering, Electrical Engineering, or a related discipline.Strong background in systems performance, platform architecture, or runtime behaviorSolid 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 strategyExperience collaborating across hardware, software, and product organizationsStrong technical communication skills, including engagement with external partnersPreferred ExperienceClient platforms (PC, mobile, embedded) rather than exclusively datacenter or HPC environmentsOn-device AI inference workloadsPower- and performance-sensitive system designPerformance analysis tools, telemetry, and data-driven evaluationPrior experience engaging with memory or silicon vendors in a technical or architectural capacityProgramming: 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.SalaryThe pay range for this role is $147,050 to $230,850 USD 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.BenefitsHP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional 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.","company":"HP","rawCompany":"hp","city":"Big Spring","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-07T11:37:32.142Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Systems Architect: Memory Wall Exploration","description":"Job SummaryThe 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.Key ResponsibilitiesPlatform Performance & Memory AnalysisAnalyze how AI workloads interact with system resources across CPU, GPU, and AI acceleratorsEvaluate the impact of memory bandwidth, latency, contention, and data movement on workload performance, responsiveness, and power efficiencyCharacterize workload behavior in shared-memory systems, including interactions between foreground and background activityIdentify 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 & StrategyTranslate memory and system-level constraints into actionable guidance for platform architecture, runtime, power, and performance teamsHelp define execution envelopes and tradeoffs (e.g., placement, concurrency limits, configuration sensitivity) that improve AI experience predictabilityContribute to platform-level strategy by connecting technical constraints to user experience outcomes and product decisionsCross-Functional & Ecosystem CollaborationWork closely with platform architecture, runtime, power/thermal, and AI enablement teams within HPEngage with external ecosystem partners, including memory and silicon vendors, to:Understand platform capabilities, tradeoffs, and roadmap directionsEvaluate how memory technologies and configurations affect real-world AI experiencesTranslate partner insights into HP-specific system guidance and strategic recommendationsSupport technical alignment discussionsPlatform EnablementAssist in defining internal tools, metrics, and evaluation methods for assessing AI workload behavior and memory sensitivityContribute to documentation, best practices, and internal frameworks related to system-level AI performanceHelp scale AI experiences across a diverse portfolio of devices and SKUsQualificationsEducation: M.Sc. in Computer Engineering, Electrical Engineering, or a related discipline.Strong background in systems performance, platform architecture, or runtime behaviorSolid 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 strategyExperience collaborating across hardware, software, and product organizationsStrong technical communication skills, including engagement with external partnersPreferred ExperienceClient platforms (PC, mobile, embedded) rather than exclusively datacenter or HPC environmentsOn-device AI inference workloadsPower- and performance-sensitive system designPerformance analysis tools, telemetry, and data-driven evaluationPrior experience engaging with memory or silicon vendors in a technical or architectural capacityProgramming: 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.SalaryThe pay range for this role is $147,050 to $230,850 USD 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.BenefitsHP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional 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.","datePosted":"2026-06-07T11:37:32.142Z","dateModified":"2026-06-07T11:37:32.142Z","hiringOrganization":{"@type":"Organization","name":"HP","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Big Spring","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"75c3b1606bfbfc63946480da"},"url":"https://jobsearcher.com/jobs/75c3b1606bfbfc63946480da"}}