{"schemaVersion":"jobsearcher.job.v1","id":"ac20904aa454a069ffd7a12b","url":"https://jobsearcher.com/jobs/ac20904aa454a069ffd7a12b","canonicalUrl":"https://jobsearcher.com/jobs/ac20904aa454a069ffd7a12b","title":"CPU Performance Engineer (Mountain View)","description":"Job ResponsibilitiesSilicon Characterization: Drive post-silicon power and performance measurements for next-generation Smartphone SoCs.Data Automation & Infrastructure: Design and maintain Python-based automation frameworks for high-fidelity workload measurements and telemetry collection.Performance Analysis: Conduct root-cause analysis of microarchitectural bottlenecks and evaluate the impact of DVFS and thermal management policies.Collaboration: Work closely with architecture and software teams to translate raw silicon data into actionable performance insights.Minimum QualificationsBachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.3+ years of experience in microprocessor architecture, performance analysis, or post-silicon power/performance characterization.Proficiency in C/C++ and Python for test automation and data parsing.Hands-on experience with hardware lab equipment (oscilloscopes, power monitors) and CPU benchmarking tools.Preferred QualificationsPrior experience in power instrumentation and measurement of mobile devices is a plusMobile Ecosystem Expertise: Deep understanding of the Android (or iOS) stack, including experience with the smartphone rooting process and system-level performance tuning.Architecture Knowledge: Strong foundation in Instruction Set Architecture (ISA), specifically ARM or RISC-V.System-Level Optimization: Experience with power management states, thermal throttling mechanisms, and system-level trade-offs in mobile SoCs.Analytical Rigor: Proven ability to automate complex data pipelines and visualize large datasets to identify microarchitectural trends.","company":"Sintegra","rawCompany":"sintegra","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-29T03:33:14.841Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"CPU Performance Engineer (Mountain View)","description":"Job ResponsibilitiesSilicon Characterization: Drive post-silicon power and performance measurements for next-generation Smartphone SoCs.Data Automation & Infrastructure: Design and maintain Python-based automation frameworks for high-fidelity workload measurements and telemetry collection.Performance Analysis: Conduct root-cause analysis of microarchitectural bottlenecks and evaluate the impact of DVFS and thermal management policies.Collaboration: Work closely with architecture and software teams to translate raw silicon data into actionable performance insights.Minimum QualificationsBachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.3+ years of experience in microprocessor architecture, performance analysis, or post-silicon power/performance characterization.Proficiency in C/C++ and Python for test automation and data parsing.Hands-on experience with hardware lab equipment (oscilloscopes, power monitors) and CPU benchmarking tools.Preferred QualificationsPrior experience in power instrumentation and measurement of mobile devices is a plusMobile Ecosystem Expertise: Deep understanding of the Android (or iOS) stack, including experience with the smartphone rooting process and system-level performance tuning.Architecture Knowledge: Strong foundation in Instruction Set Architecture (ISA), specifically ARM or RISC-V.System-Level Optimization: Experience with power management states, thermal throttling mechanisms, and system-level trade-offs in mobile SoCs.Analytical Rigor: Proven ability to automate complex data pipelines and visualize large datasets to identify microarchitectural trends.","datePosted":"2026-04-29T03:33:14.841Z","dateModified":"2026-04-29T03:33:14.841Z","hiringOrganization":{"@type":"Organization","name":"Sintegra","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain 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