Enterprise Software Architect

As an Enterprise Software Architect, you will provide technical leadership in GPU architecture and production software stacks enablement that cover Data Center & Edge AI and Gaming for nextgeneration GPU products. This software architect's role is to pull in all aspects of software from applications to AI models, to open ecosystem frameworks, to enterprise application suites, to kubernetes orchestration, and to RoCm libraries tools compilers and runtimes, and create software architecture plan of record together during the next cutting edge GPU architecture definition time. Provide Software architectural vision to improve Enterprise adoption for discrete GPU from a manageability and telemetry perspective via industry standard manageability tools (e.g. iDRAC, iLO, IPMI).

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

Focused on leading software planning for new GPU products introduction with accountability spanning early architecture definition, presilicon modeling, and software readiness for emerging edge AI platforms and modern gaming systems.

THE PERSON:

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., * Software Architecture and Go-to-Market Software readiness Leadership:Provide technical leadership for software architecture and strategy with direct impact on dGPU products. Translate architectural concepts into concrete software requirements spanning firmware, drivers, software libraries, tools, and applications.

• 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.

• Software development experience 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.
• Experience working as a technical leader with deep experience in driving collaborations across crossfunctional engineering teams.

Knowledge and hands-on experience in Machine Learning, with the ability to successfully create and optimize machine learning models for various applications especially around ML Model Architectures such as CNN, UNet, and so on.

• Excellent team management, product management, and organizational skills.
• Understands that requirements are rarely perfect and are willing to extract the spirit of the requirement to make the system or software better.
• Has excellent written and verbal communication skills.
• Is willing to travel domestically and internationally on an occasional basis.

The following experiences are optional but highly desired:

• Knowledge and hands-on experience in Machine Learning, with the ability to successfully create and optimize machine learning models for various applications especially around ML Model Architectures such as transformer, SD, CNN, UNet, and so on.
• Graphics architecture experience, with DirectX 12 and/or Vulkan graphics APIs.
• Game engine or game rendering framework 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.