Principal Engineer - GPU Software Architect

As GPU Software Architect,you willprovide technical leadership at the intersection of GPU architecture, multiASIC platformbringup, and software enablement for nextgeneration GPU products.This is a "Software-First" architecture role: you will reimagine andredefinethe end-to-endsoftware librarieslifecycle as itspansacross multipleASICs to create a unifiedsoftwarefabricand process supportingdevelopment of software libraries oncutting edgehardware.

You will serve as a bridging authority betweensoftwarearchitectureand the hardware ecosystem, ensuring that architectural intent translates intoworking, performant, and scalablesolutions forpartnershipsestablishedwithsoftware librariesteams.

This role isfocused onleading a team focusedonnew GPUs and new product introductions, with accountability spanning early architecture definition, presilicon modeling, multiASIC bringup strategy, and software readiness for emerging platforms.

THE PERSON: You are a deeply technical leader who thrives in ambiguous, firstofkind environments. You combine strong architectural intuition with handson experience bringing up complex hardware platforms and enabling software stacks on new silicon.

You are comfortable operating across layers - from architecture tradeoffs and interconnect topology down to firmware, drivers, and performance tooling - and you are trusted to make decisions when data is incomplete.You naturally connectand leadteamsthrough technical credibility, clarifyingintent, and reducingfriction between hardware and software organizations.

KEY RESPONSIBILITIES:

• Architecture & PlatformLeadership:Provide technical leadership for GPU architecture decisions with direct impact on multiASIC platforms, interconnects, memory systems, and scalability. Translate architectural concepts into concrete platform requirements spanning ASIC, firmware, drivers, and software libraries.

• MultiASIC BringUpStrategy:Define and lead bringup strategies for new GPU platforms, includingstrategies spanning multipleASICs. Partner with silicon, systems, and software teams toidentifyrisks early and drive mitigation plans from presilicon through first silicon.

• Hardware-Software CoDesign:Drive hardware/software interface definition, ensuring architecture choicessupport and reflect the drive towards performance and quality.Influence firmware, driver, runtime, and performance software design to align with architectural intent.

• Early SiliconEnablement:Act as a technical escalation point during early silicon bringup, debugging complex crosslayer issues spanning hardware, firmware, and software.Guidethe creation of diagnostics, validation tools, and bringup workflows that scale across teams and products.

• CrossFunctional TechnicalLeadership:Work across architecture, design, verification, drivers, performance libraries, and product teams to ensure alignment. Provide technical mentorship and review, raising the overall effectiveness of teams working on new GPU platforms.

• Knowledge Capture &Reuse:Capture lessons learned from new product bringup and translate them into reusable architecture patterns, best practices, and documentation.

• Leverages AIassisted software development toolsto acceleratethedesign, implementation, review, and documentation of complex software libraries. Establishes best practices for responsible use of AIassistance, including validation, review, and traceability of generated code and technical artifacts., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

• Deep experience in GPU, accelerator, or SoC architecture, including memory systems, interconnects, and scalability considerations.History of technical leadership across distributed, crossfunctional engineering teams.

• Strong background in systems software, firmware, drivers, or performance software used to enable new silicon.Proven experience in hardware/software codesign, including defining interfaces and debugging crosslayer issues.

• Handson programming experience in C/C++ and Python. Familiarity with lowlevel debugging tools and workflows.Experience working with performance modeling, simulators, or early validation infrastructure.

• Applied experience using AIassisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration.

• Advanced degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent practical experience.

ACADEMIC CREDENTIALS:

• Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from 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, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving 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.