{"schemaVersion":"jobsearcher.job.v1","id":"8178db23ce7013f2bf2bd2e1","url":"https://jobsearcher.com/jobs/8178db23ce7013f2bf2bd2e1","canonicalUrl":"https://jobsearcher.com/jobs/8178db23ce7013f2bf2bd2e1","title":"GPU Performance Analysis Engineer","description":"Company Qualcomm Technologies, Inc.\nJob Area Engineering Group, Engineering Group > GPU ASICS Engineering\nGeneral Summary Qualcomm is one of the largest fabless design companies in the world providing hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. The Qualcomm Graphics System Team is responsible for the development of end to end and system on chip (SOC) architectural solutions for next generation of graphics processing units (GPUs) and compute devices.\nResponsibilities In this role, your work will have critical impact in influencing next generation GPUs to be more efficient and to maintain competitive edge in Qualcomm Graphics solutions.\nYou will be contributing to performance analysis at GPU level for Graphics and Raytracing workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf.\nBe engaged and contribute to competitive perf/power analysis for popular benchmark/games and to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities.\nDevelop tools for efficient, streamlined and scalable debug/validation tasks.\nSupport presilicon workload enablement efforts for the analyzed workloads and games\nThis role requires understanding of gpu bottlenecks. This also requires understanding how rendering for games work (their graphics pipelines) as well as to be able to write small rendering applications using the gpu using graphics APIs such as vulkan and hlsl/glsl/spirv. For this role you need to be able to analyze performance silicon measurements in Android.\nMinimum Skills Understanding of GPU architecture\nRendering knowledge and the ability to write rendering applications with vulkan and other graphics APIs\nStrong knowledge of python and C++\nPerformance analysis experience\nSharp analytical skillset\nFluency in usage of latest AI tools to solve system level problem\nPreferred Skills Minimum of Bachelor degree required\nMasters degree or PhD\n3-7 years of relevant experience\nAndroid experience\nGFXR capture/playback for vulkan. Render doc capture and interpretation of the data.\nExperience in competitive performance for GPU centric use cases\nPost-si debugging experience\nMinimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nMaster's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nPhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nPay Range And Other Compensation & Benefits $203,700.00 - $305,500.00\nThe above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.\n\n#J-18808-Ljbffr","company":"Mac Vc","rawCompany":"mac vc","city":"San Diego","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-16T04:09:38.577Z","occupations":[{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"334419","title":"Other Electronic Component Manufacturing","slug":"other-electronic-component-manufacturing"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU Performance Analysis Engineer","description":"Company Qualcomm Technologies, Inc.\nJob Area Engineering Group, Engineering Group > GPU ASICS Engineering\nGeneral Summary Qualcomm is one of the largest fabless design companies in the world providing hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. The Qualcomm Graphics System Team is responsible for the development of end to end and system on chip (SOC) architectural solutions for next generation of graphics processing units (GPUs) and compute devices.\nResponsibilities In this role, your work will have critical impact in influencing next generation GPUs to be more efficient and to maintain competitive edge in Qualcomm Graphics solutions.\nYou will be contributing to performance analysis at GPU level for Graphics and Raytracing workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf.\nBe engaged and contribute to competitive perf/power analysis for popular benchmark/games and to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities.\nDevelop tools for efficient, streamlined and scalable debug/validation tasks.\nSupport presilicon workload enablement efforts for the analyzed workloads and games\nThis role requires understanding of gpu bottlenecks. This also requires understanding how rendering for games work (their graphics pipelines) as well as to be able to write small rendering applications using the gpu using graphics APIs such as vulkan and hlsl/glsl/spirv. For this role you need to be able to analyze performance silicon measurements in Android.\nMinimum Skills Understanding of GPU architecture\nRendering knowledge and the ability to write rendering applications with vulkan and other graphics APIs\nStrong knowledge of python and C++\nPerformance analysis experience\nSharp analytical skillset\nFluency in usage of latest AI tools to solve system level problem\nPreferred Skills Minimum of Bachelor degree required\nMasters degree or PhD\n3-7 years of relevant experience\nAndroid experience\nGFXR capture/playback for vulkan. Render doc capture and interpretation of the data.\nExperience in competitive performance for GPU centric use cases\nPost-si debugging experience\nMinimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nMaster's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nPhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nQualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nPay Range And Other Compensation & Benefits $203,700.00 - $305,500.00\nThe above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.\n\n#J-18808-Ljbffr","datePosted":"2026-10-16T04:09:38.577Z","dateModified":"2026-10-16T04:09:38.577Z","hiringOrganization":{"@type":"Organization","name":"Mac Vc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8178db23ce7013f2bf2bd2e1"},"url":"https://jobsearcher.com/jobs/8178db23ce7013f2bf2bd2e1"}}