Job Title

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate nextgeneration computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Senior Engineer - GPU Software Architect THE ROLE As GPU Software Architect, you will be a key technical contributor working at the intersection of GPU architecture, multiASIC platform enablement, and software libraries for nextgeneration GPU products. This is a softwarefirst architecture role, where you will contribute to shaping how GPU software libraries are designed, brought up, and validated across new hardware platforms. You will work closely with principal architects, hardware teams, and software engineers to ensure architectural intent is translated into working, performant, and maintainable software solutions. This role is focused on new GPUs and new product introductions, with handson involvement spanning early platform enablement, software bringup, and crossteam integration. THE PERSON You are a strong technical engineer who thrives in complex, evolving environments. You have handson experience enabling software on new hardware and are comfortable working across abstraction layers from architecture concepts to implementation and debugging. You enjoy collaborating with hardware, firmware, and software teams, and you are effective at translating architectural ideas into practical software solutions. You seek clarity, learn quickly from early data, and contribute constructively when requirements are incomplete. You grow influence through technical execution, collaboration, and mentoring, and you are motivated to expand your architectural scope over time. KEY RESPONSIBILITIES Software Architecture & Enablement: Contribute to GPU software architecture efforts that support new hardware platforms and multiASIC systems. Translate architectural guidance into concrete software designs and implementation plans across GPU libraries. Platform BringUp Support: Participate in early platform and silicon bringup activities, working with hardware, firmware, and driver teams to identify and resolve issues. Assist in developing diagnostics, validation tools, and workflows that support scalable bringup and debugging. HardwareSoftware Collaboration: Work with hardware and software architects to refine hardware/software interfaces and ensure software readiness for new GPUs. Provide feedback from software bringup and performance analysis to inform architectural decisions. Technical Execution & Review: Draft and review technical designs that consider performance, scalability, and roadmap constraints. Execute complex software work independently while collaborating with peers to meet delivery commitments. Knowledge Sharing & Mentorship: Document lessons learned from new product enablement and contribute to shared best practices. Coach and mentor engineers within the normal software development lifecycle and agile practices. AIAssisted Development: Apply AIassisted software development tools to accelerate implementation, testing, review, and documentation, following established validation and traceability practices. PREFERRED EXPERIENCE Solid experience in GPU, accelerator, or systems software, with exposure to new hardware enablement. Background in systems software, performance libraries, firmware, or drivers used to support GPU platforms. Practical experience with hardware/software codesign, including interface definition and crosslayer debugging. Strong programming skills in C/C++ and Python, with familiarity in debugging lowlevel or performancesensitive code. Experience working with performance analysis tools, simulators, or early validation environments. Familiarity with collaborative, opensource or largescale software development practices. Applied experience using AIassisted coding tools in professional software workflows. ACADEMIC CREDENTIALS Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred. LOCATION Hybrid/Remote in WaterlooToronto CorridorOntario,orCalgaryAlberta,orVancouverBritish Columbia Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or feebased 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 thirdparty 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. AMDs ''''Responsible AI Policy'''' is available here. This posting is for an existing vacancy. #J-18808-Ljbffr