Platform Emulation Software Engineer - DC GPU

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. THE TEAM: The 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. THE ROLE: 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 verification • Writing tools to improve the efficiency of debugging hardware on emulation • Building and executing GPU benchmarks/applications on the emulator • Developing emulation infrastructure and tools You 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 PERSON: 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: • Design and implement GPU applications in CUDA/HIP to enhance pre-silicon verification • Develop tools and automation to improve the efficiency of debugging hardware on emulation • Run and collect data for analysis on AMD’s high-end emulators and simulation models • Develop scripts/tools to parse and analyze data from emulation runs • Run and collect functional and performance data for AI/ML workloads • Collaborate with senior engineers to support debug of hardware-related failures and performance issues observed on emulation • Attend weekly meetings, provide status communication, and deliver technical presentations SKILLS AND EXPERIENCE REQUIREMENTS: Strong knowledge of computer hardware architecture (GPU/CPU, memory hierarchy, interconnects, caches) Excellent programming skills in: • C, C++ • Python • Tcl EXPERIENCE OR UNDERSTANDING OF: • Shared memory concurrent programming • Relaxed memory models • Cache coherency • Working knowledge of Linux/Unix environments and shell scripting • Knowledge of computer software architecture and boot flow (boot code, BIOS, device drivers, OS) • Excellent oral and written communication skills • Willingness to learn and think outside the box NICE TO HAVE: • Exposure to Verilog/SystemVerilog and waveform-based debug • Experience with ML workloads and profiling/performance analysis • Familiarity with APIs/platforms such as ROCm, OpenCL, OpenGL, Vulkan WHAT YOU WILL LEARN: • Data Center and Machine Learning use cases and workloads • High-Performance Computing architecture and use cases • How GPU-based software workloads interact with real hardware in a pre-silicon environment • Pre-silicon development and testing technologies • Hands-on emulation run and debug techniques • Deep dives into performance analysis, code tracing, and debug on large-scale GPU platforms ACADEMIC 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. #LI-RW1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. THE TEAM: The 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. THE ROLE: 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 verification • Writing tools to improve the efficiency of debugging hardware on emulation • Building and executing GPU benchmarks/applications on the emulator • Developing emulation infrastructure and tools You 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 PERSON: 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: • Design and implement GPU applications in CUDA/HIP to enhance pre-silicon verification • Develop tools and automation to improve the efficiency of debugging hardware on emulation • Run and collect data for analysis on AMD’s high-end emulators and simulation models • Develop scripts/tools to parse and analyze data from emulation runs • Run and collect functional and performance data for AI/ML workloads • Collaborate with senior engineers to support debug of hardware-related failures and performance issues observed on emulation • Attend weekly meetings, provide status communication, and deliver technical presentations SKILLS AND EXPERIENCE REQUIREMENTS: Strong knowledge of computer hardware architecture (GPU/CPU, memory hierarchy, interconnects, caches) Excellent programming skills in: • C, C++ • Python • Tcl EXPERIENCE OR UNDERSTANDING OF: • Shared memory concurrent programming • Relaxed memory models • Cache coherency • Working knowledge of Linux/Unix environments and shell scripting • Knowledge of computer software architecture and boot flow (boot code, BIOS, device drivers, OS) • Excellent oral and written communication skills • Willingness to learn and think outside the box NICE TO HAVE: • Exposure to Verilog/SystemVerilog and waveform-based debug • Experience with ML workloads and profiling/performance analysis • Familiarity with APIs/platforms such as ROCm, OpenCL, OpenGL, Vulkan WHAT YOU WILL LEARN: • Data Center and Machine Learning use cases and workloads • High-Performance Computing architecture and use cases • How GPU-based software workloads interact with real hardware in a pre-silicon environment • Pre-silicon development and testing technologies • Hands-on emulation run and debug techniques • Deep dives into performance analysis, code tracing, and debug on large-scale GPU platforms ACADEMIC 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. #LI-RW1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.