{"schemaVersion":"jobsearcher.job.v1","id":"c728fa0778bd42f9e480d5bf","url":"https://jobsearcher.com/jobs/c728fa0778bd42f9e480d5bf","canonicalUrl":"https://jobsearcher.com/jobs/c728fa0778bd42f9e480d5bf","title":"Lead Power Systems Engineer","description":"Overview At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.\r\nThe Role AMD's embedded and client x86 programs demand first-time-right silicon. You will lead SoC-level pre-silicon power modeling —owning the methodology, models, and cross-functional influence that translate into accurate Perf/Watt projections, robust DVFS/AVFS plans, and silicon correlation that de-risks program power budgets.\r\nThe Person Demonstrated experience building top-level SoC power models with high correlation to silicon, including IP-level VBM integration and workload-based projections.\r\nHands-on with EDA/tooling : PowerArtist, PrimeTime PX (or equivalents), activity annotation (FSDB/VCD), UPF/CPF power intent, Python for automation.\r\nDeep knowledge of x86 micro-architecture (CPU pipelines, caches), GPU/NPU basics, memory subsystems, interconnect/fabric behavior, and power delivery/PDN interactions.\r\nProven ability to define DVFS/AVFS strategies and drive FW telemetry requirements; familiarity with EDC/TDC/CaC semantics and their impact on power.\r\nA validated SoC power model & scorecard that anchors program power budgets and executive reviews.\r\nWorkload-specific DVFS/AVFS tables and telemetry specs for FW/BIOS enablement.\r\nCorrelation reports (estimated vs. measured) and recommendations that accelerate first-time-right silicon.\r\nKey Responsibilities Own the SoC power model end-to-end using AMD's converged methodology, delivering accurate workload-based power estimates for CPU/GPU/NPU, fabric/interconnect, memory, and I/O.\r\nDefine use-case power envelopes across automotive, networking, storage, industrial, and robotics segments; partner with product/marketing to derive representative workloads and KPIs.\r\nDrive DVFS/AVFS strategy (P-states, C-states, voltage/frequency points), telemetry requirements, and FW hand-offs based on model outputs; provide early tables and guardrails to FW/BIOS.\r\nEstablish IP/subsystem power budgets ; run sensitivity studies to guide architectural decisions (e.g., cache sizes, fabric frequencies, NPU/GPU configurations).\r\nBuild repeatable model-to-silicon correlation plans (CaC/static/dynamic splits, EDC/TDC interactions, droop mitigation) and maintain a power scorecard for program reviews.\r\nLead tool flows & automation (e.g., PowerArtist, PrimeTime PX; Python-based pipelines) to ingest activity (FSDB/VCD), generate reports, and publish dashboards for stakeholders.\r\nCollaborate across Architecture, RTL/Design, Physical Design, FW/BIOS, and System PnP to ensure converged Perf/Watt outcomes from concept through bring-up.\r\nPreferred Experience Segment experience modeling power for automotive (AEC-Q100/ASIL) use-cases, networking throughput workloads, storage I/O patterns, industrial/robotics duty cycles.\r\nSystem performance modeling familiarity (GEM5/Simics/SystemC) to align Perf/Watt predictions and bottleneck analysis with architecture teams.\r\nExperience creating PnP dashboards/regressions (Python/Jenkins/Grafana/InfluxDB) for continuous tracking.\r\nAcademic Credentials B.S./M.S. in EE/CE/CS (or related) with strong industry experience in SoC pre-silicon power modeling/estimation and cross-domain collaboration.\r\nLocation Austin, TX (Hybrid)\r\nThis role is not eligible for visa sponsorship.\r\nLI-BW2\r\nHYBRID\r\nBenefits offered are described: AMD benefits at a glance.\r\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.\r\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's \"Responsible AI Policy\" is available here.\r\nThis posting is for an existing vacancy.\r\nJ-18808-Ljbffr","company":"Advanced Micro Devices","rawCompany":"advanced micro devices","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-08T02:04:45.417Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Power Systems Engineer","description":"Overview At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.\r\nThe Role AMD's embedded and client x86 programs demand first-time-right silicon. You will lead SoC-level pre-silicon power modeling —owning the methodology, models, and cross-functional influence that translate into accurate Perf/Watt projections, robust DVFS/AVFS plans, and silicon correlation that de-risks program power budgets.\r\nThe Person Demonstrated experience building top-level SoC power models with high correlation to silicon, including IP-level VBM integration and workload-based projections.\r\nHands-on with EDA/tooling : PowerArtist, PrimeTime PX (or equivalents), activity annotation (FSDB/VCD), UPF/CPF power intent, Python for automation.\r\nDeep knowledge of x86 micro-architecture (CPU pipelines, caches), GPU/NPU basics, memory subsystems, interconnect/fabric behavior, and power delivery/PDN interactions.\r\nProven ability to define DVFS/AVFS strategies and drive FW telemetry requirements; familiarity with EDC/TDC/CaC semantics and their impact on power.\r\nA validated SoC power model & scorecard that anchors program power budgets and executive reviews.\r\nWorkload-specific DVFS/AVFS tables and telemetry specs for FW/BIOS enablement.\r\nCorrelation reports (estimated vs. measured) and recommendations that accelerate first-time-right silicon.\r\nKey Responsibilities Own the SoC power model end-to-end using AMD's converged methodology, delivering accurate workload-based power estimates for CPU/GPU/NPU, fabric/interconnect, memory, and I/O.\r\nDefine use-case power envelopes across automotive, networking, storage, industrial, and robotics segments; partner with product/marketing to derive representative workloads and KPIs.\r\nDrive DVFS/AVFS strategy (P-states, C-states, voltage/frequency points), telemetry requirements, and FW hand-offs based on model outputs; provide early tables and guardrails to FW/BIOS.\r\nEstablish IP/subsystem power budgets ; run sensitivity studies to guide architectural decisions (e.g., cache sizes, fabric frequencies, NPU/GPU configurations).\r\nBuild repeatable model-to-silicon correlation plans (CaC/static/dynamic splits, EDC/TDC interactions, droop mitigation) and maintain a power scorecard for program reviews.\r\nLead tool flows & automation (e.g., PowerArtist, PrimeTime PX; Python-based pipelines) to ingest activity (FSDB/VCD), generate reports, and publish dashboards for stakeholders.\r\nCollaborate across Architecture, RTL/Design, Physical Design, FW/BIOS, and System PnP to ensure converged Perf/Watt outcomes from concept through bring-up.\r\nPreferred Experience Segment experience modeling power for automotive (AEC-Q100/ASIL) use-cases, networking throughput workloads, storage I/O patterns, industrial/robotics duty cycles.\r\nSystem performance modeling familiarity (GEM5/Simics/SystemC) to align Perf/Watt predictions and bottleneck analysis with architecture teams.\r\nExperience creating PnP dashboards/regressions (Python/Jenkins/Grafana/InfluxDB) for continuous tracking.\r\nAcademic Credentials B.S./M.S. in EE/CE/CS (or related) with strong industry experience in SoC pre-silicon power modeling/estimation and cross-domain collaboration.\r\nLocation Austin, TX (Hybrid)\r\nThis role is not eligible for visa sponsorship.\r\nLI-BW2\r\nHYBRID\r\nBenefits offered are described: AMD benefits at a glance.\r\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.\r\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's \"Responsible AI Policy\" is available here.\r\nThis posting is for an existing vacancy.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T02:04:45.417Z","dateModified":"2026-08-08T02:04:45.417Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c728fa0778bd42f9e480d5bf"},"url":"https://jobsearcher.com/jobs/c728fa0778bd42f9e480d5bf"}}