{"schemaVersion":"jobsearcher.job.v1","id":"4641f4a080fab80e86a1d9ed","url":"https://jobsearcher.com/jobs/4641f4a080fab80e86a1d9ed","canonicalUrl":"https://jobsearcher.com/jobs/4641f4a080fab80e86a1d9ed","title":"Staff Engineer, Post-Silicon Debug & Validation Engineer","description":"Position Summary\n\nSamsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!\n\nRole and Responsibilities\n\nAs a Staff GPU Post-Silicon Debug and Validation Engineer, you will contribute to the bring-up, debug, and validation of next-generation GPU and system-level IP across silicon and emulation platforms. Your work will directly impact product quality, performance, and time to market for Samsung’s GPU technologies deployed across mobile and adjacent SoCs.\n\nIn this individual contributor role, you will work across silicon debug, system validation, and emulation environments to identify, analyze, and resolve complex functional and performance issues. You bring curiosity to collaborate closely with architecture, design, verification, and software teams to drive root cause analysis, improve debug efficiency, and enable robust validation strategies from bring-up through production.\n\nSupport GPU silicon debug, design-for-debug architecture, and diagnostic development under the guidance of senior engineers\nAssist with automated SOC-level system test generation for GPU and Coherent Interconnect\nParticipate in board-level hardware and software bring-up of GPU and SOCs (Memory Controllers, Chip Interconnect/Fabric)\nPerform functional and parametric analysis of SOC and IP within an SOC\nHelp debug and root-cause improper or inconsistent operation\nDevelop software tools or scripts to support debug and test simplification and automation, leveraging AI/ML tools to accelerate analysis and automate repetitive debug workflows\nLearn and apply debug features to accelerate testing and improve test effectiveness\nContribute to IP-level functional validation test plans\nSupport SOC emulation: modify hardware, software, and test benches, run emulation, and analyze SOC behavior\nProvide debug and testing input for feature improvements to next-generation designs\n\nSkills and Qualifications\n\n6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.\nBS in Electrical Engineering, Computer Engineering, or comparable degree (recent or upcoming graduate); internship or academic project experience in GPU or post-silicon debug/validation is a plus\nMust have hands-on experience with AI/ML tools or techniques (e.g., using AI coding assistants, applying ML/data analysis to debug or test automation, or coursework/projects involving AI/ML) — this is a required skill for the role\nCoursework or project experience with system/board-level bring-up\nExposure to GPU or microprocessor debug using Logic Analyzers, Scopes, or other test equipment\nFamiliarity with debuggers such as Lauterbach (coursework or lab experience acceptable)\nBasic understanding of performance and power measurement techniques\nExposure to scanchain, array dump, or other HW debug techniques (academic or internship experience acceptable)\nFamiliarity with waveform analysis and emulator signal extraction concepts\nExposure to IPXACT design documents or parser development (a plus)\nFoundational GPU architectural knowledge (coursework or personal projects)\nFamiliarity with GPU APIs (OpenGL, OpenGL ES, Vulkan) and GPU software stacks\nProficiency in C/C++/Object-Oriented Programming, Python, and Shell Scripting\nBasic understanding of GPU/microprocessor product and test engineering concepts\nExposure to Linux and/or Android kernel programming\nFamiliarity with BIOS/firmware programming concepts (a plus)\nCoursework or project experience with Verilog and/or UVM\n\nOur Team\n\nThe Central Engineering organization at SARC/ACL drives technology enablement for GPU and SoC development by delivering critical engineering infrastructure, IP, and services across emulation, compute, silicon validation, and manufacturing readiness. Spanning the full development lifecycle, our teams partner closely with design and manufacturing stakeholders to support early silicon engagement, system bring-up, validation, power and performance analysis, debug, and test coverage—ensuring efficient execution and production readiness at scale.\n\nWithin Central Engineering, the Silicon & Emulation team focuses on emulation platforms, silicon validation, and system-level analysis to enable functional correctness and optimized power and performance. You will join a team that operates at the intersection of multiple engineering domains to solve real-world challenges, see the impact of your work, and experience innovation in a collaborative environment that values ownership, continuous learning, and technical excellence.\n\nTotal Rewards\n\nAt Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $151,000 and $226,600. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.\n\nSamsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.\n\nAdditionally, this role might be eligible to participate in long term incentive plan and relocation.\n\nThis is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).\n\nTrade Secrets\n\nBy submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.\n\nU.S. Export Control\n\nThis role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.\n\n#SARC\n\n* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.\n\n* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.","company":"Samsungelectronics","rawCompany":"samsungelectronics","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-23T10:20:33.804Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"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":"Staff Engineer, Post-Silicon Debug & Validation Engineer","description":"Position Summary\n\nSamsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!\n\nRole and Responsibilities\n\nAs a Staff GPU Post-Silicon Debug and Validation Engineer, you will contribute to the bring-up, debug, and validation of next-generation GPU and system-level IP across silicon and emulation platforms. Your work will directly impact product quality, performance, and time to market for Samsung’s GPU technologies deployed across mobile and adjacent SoCs.\n\nIn this individual contributor role, you will work across silicon debug, system validation, and emulation environments to identify, analyze, and resolve complex functional and performance issues. You bring curiosity to collaborate closely with architecture, design, verification, and software teams to drive root cause analysis, improve debug efficiency, and enable robust validation strategies from bring-up through production.\n\nSupport GPU silicon debug, design-for-debug architecture, and diagnostic development under the guidance of senior engineers\nAssist with automated SOC-level system test generation for GPU and Coherent Interconnect\nParticipate in board-level hardware and software bring-up of GPU and SOCs (Memory Controllers, Chip Interconnect/Fabric)\nPerform functional and parametric analysis of SOC and IP within an SOC\nHelp debug and root-cause improper or inconsistent operation\nDevelop software tools or scripts to support debug and test simplification and automation, leveraging AI/ML tools to accelerate analysis and automate repetitive debug workflows\nLearn and apply debug features to accelerate testing and improve test effectiveness\nContribute to IP-level functional validation test plans\nSupport SOC emulation: modify hardware, software, and test benches, run emulation, and analyze SOC behavior\nProvide debug and testing input for feature improvements to next-generation designs\n\nSkills and Qualifications\n\n6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.\nBS in Electrical Engineering, Computer Engineering, or comparable degree (recent or upcoming graduate); internship or academic project experience in GPU or post-silicon debug/validation is a plus\nMust have hands-on experience with AI/ML tools or techniques (e.g., using AI coding assistants, applying ML/data analysis to debug or test automation, or coursework/projects involving AI/ML) — this is a required skill for the role\nCoursework or project experience with system/board-level bring-up\nExposure to GPU or microprocessor debug using Logic Analyzers, Scopes, or other test equipment\nFamiliarity with debuggers such as Lauterbach (coursework or lab experience acceptable)\nBasic understanding of performance and power measurement techniques\nExposure to scanchain, array dump, or other HW debug techniques (academic or internship experience acceptable)\nFamiliarity with waveform analysis and emulator signal extraction concepts\nExposure to IPXACT design documents or parser development (a plus)\nFoundational GPU architectural knowledge (coursework or personal projects)\nFamiliarity with GPU APIs (OpenGL, OpenGL ES, Vulkan) and GPU software stacks\nProficiency in C/C++/Object-Oriented Programming, Python, and Shell Scripting\nBasic understanding of GPU/microprocessor product and test engineering concepts\nExposure to Linux and/or Android kernel programming\nFamiliarity with BIOS/firmware programming concepts (a plus)\nCoursework or project experience with Verilog and/or UVM\n\nOur Team\n\nThe Central Engineering organization at SARC/ACL drives technology enablement for GPU and SoC development by delivering critical engineering infrastructure, IP, and services across emulation, compute, silicon validation, and manufacturing readiness. Spanning the full development lifecycle, our teams partner closely with design and manufacturing stakeholders to support early silicon engagement, system bring-up, validation, power and performance analysis, debug, and test coverage—ensuring efficient execution and production readiness at scale.\n\nWithin Central Engineering, the Silicon & Emulation team focuses on emulation platforms, silicon validation, and system-level analysis to enable functional correctness and optimized power and performance. You will join a team that operates at the intersection of multiple engineering domains to solve real-world challenges, see the impact of your work, and experience innovation in a collaborative environment that values ownership, continuous learning, and technical excellence.\n\nTotal Rewards\n\nAt Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $151,000 and $226,600. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.\n\nSamsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.\n\nAdditionally, this role might be eligible to participate in long term incentive plan and relocation.\n\nThis is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).\n\nTrade Secrets\n\nBy submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.\n\nU.S. Export Control\n\nThis role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.\n\n#SARC\n\n* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.\n\n* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.","datePosted":"2026-09-23T10:20:33.804Z","dateModified":"2026-09-23T10:20:33.804Z","hiringOrganization":{"@type":"Organization","name":"Samsungelectronics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4641f4a080fab80e86a1d9ed"},"url":"https://jobsearcher.com/jobs/4641f4a080fab80e86a1d9ed"}}