Design Verification Engineer

Advance Your Career. Advance The World.At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.ResponsibilitiesThe Data Center GPU and Accelerated Processing Team delivers AMD products for Data Center, Machine Learning, and High-Performance Computing. The Platform Emulation team (PEMU) is an integral part of the Data Center GPU and Accelerated Processing group responsible for pre-silicon activities to support product bring-up and launch.AMD is seeking a Platform Emulation Software Engineer to join our Data Center GPU organization. Our products support the rapidly scaling Data Center and High-Performance Compute infrastructure. You will be an integral member of the Platform Emulation team responsible for:Designing and implementing GPU applications in CUDA/C++ to enhance pre-silicon verificationWriting tools to improve the efficiency of debugging hardware on emulationBuilding and executing GPU benchmarks/applications on the emulatorDeveloping emulation infrastructure and toolsYou will work alongside a team of innovative engineers to support the deployment of AMD's Instinct ML products targeting Supercomputers and Data Center workloads.The ideal candidate is an energetic, motivated engineer, excellent communication skills, and a solid technical foundation in GPU programming, and GPU architecture knowledge. This individual brings critical thinking, cross collaborate, and the ability to engage credibly with team members.Key responsibilities include:Design and implement GPU applications in CUDA/HIP to enhance pre-silicon verificationDevelop tools and automation to improve the efficiency of debugging hardware on emulationRun and collect data for analysis on AMD's high-end emulators and simulation modelsDevelop scripts/tools to parse and analyze data from emulation runsRun and collect functional and performance data for AI/ML workloadsCollaborate with senior engineers to support debug of hardware-related failures and performance issues observed on emulationAttend weekly meetings, provide status communication, and deliver technical presentationsSkills and experience requirements include:Strong knowledge of computer hardware architecture (GPU/CPU, memory hierarchy, interconnects, caches)Excellent programming skills in:C, C++PythonTclExperience or understanding of:Shared memory concurrent programmingRelaxed memory modelsCache coherencyWorking knowledge of Linux/Unix environments and shell scriptingKnowledge of computer software architecture and boot flow (boot code, BIOS, device drivers, OS)Excellent oral and written communication skillsWillingness to learn and think outside the boxNice to have:Exposure to Verilog/SystemVerilog and waveform-based debugExperience with ML workloads and profiling/performance analysisFamiliarity with APIs/platforms such as ROCm, OpenCL, OpenGL, VulkanWhat you will learn:Data Center and Machine Learning use cases and workloadsHigh-Performance Computing architecture and use casesHow GPU-based software workloads interact with real hardware in a pre-silicon environmentPre-silicon development and testing technologiesHands-on emulation run and debug techniquesDeep dives into performance analysis, code tracing, and debug on large-scale GPU platformsAcademic credentials:Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent experience.Master's degree in a technical discipline or MBA is a plus.Location: Markham, Canada preferred, open to Austin, TX.This role is not eligible for visa sponsorship.