Staff Engineer, Post-Silicon Debug & Validation Engineer

Summary Samsung, 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! Role and Responsibilities As 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. In 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. Support GPU silicon debug, design-for-debug architecture, and diagnostic development under the guidance of senior engineers Assist with automated SOC-level system test generation for GPU and Coherent Interconnect Participate in board-level hardware and software bring-up of GPU and SOCs (Memory Controllers, Chip Interconnect/Fabric) Perform functional and parametric analysis of SOC and IP within an SOC Help debug and root-cause improper or inconsistent operation Develop software tools or scripts to support debug and test simplification and automation, leveraging AI/ML tools to accelerate analysis and automate repetitive debug workflows Learn and apply debug features to accelerate testing and improve test effectiveness Contribute to IP-level functional validation test plans Support SOC emulation: modify hardware, software, and test benches, run emulation, and analyze SOC behavior Provide debug and testing input for feature improvements to next-generation designs Skills and Qualifications 6+ 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. BS 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 Must 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 Coursework or project experience with system/board-level bring-up Exposure to GPU or microprocessor debug using Logic Analyzers, Scopes, or other test equipment Familiarity with debuggers such as Lauterbach (coursework or lab experience acceptable) Basic understanding of performance and power measurement techniques Exposure to scanchain, array dump, or other HW debug techniques (academic or internship experience acceptable) Familiarity with waveform analysis and emulator signal extraction concepts Exposure to IPXACT design documents or parser development (a plus) Foundational GPU architectural knowledge (coursework or personal projects) Familiarity with GPU APIs (OpenGL, OpenGL ES, Vulkan) and GPU software stacks Proficiency in C/C++/Object-Oriented Programming, Python, and Shell Scripting Basic understanding of GPU/microprocessor product and test engineering concepts Exposure to Linux and/or Android kernel programming Familiarity with BIOS/firmware programming concepts (a plus) Coursework or project experience with