Enterprise Software Architect

Advanced Micro Devices, Inc

22h•Remote

About The Position

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. THE ROLE: 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 next‑generation 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 between software architecture and the hardware architecture and hardware ecosystem, ensuring that architectural intent translates into working, performant, and scalable solutions for partnerships established with software libraries teams. Focused on leading software planning for new GPU products introduction with accountability spanning early architecture definition, pre‑silicon modeling, and software readiness for emerging edge AI platforms and modern gaming systems. THE PERSON: A deeply technical leader who thrives in ambiguous, first‑of‑kind environments. You combine strong architectural intuition with hands‑on experience bringing up complex hardware platforms and enabling software stacks on new silicon. You are comfortable operating across layers — from architecture trade‑offs and interconnect topology down to firmware, drivers, and performance tooling — and you are trusted to make decisions when data is incomplete. You naturally connect and lead teams through technical credibility, clarifying intent, and reducing friction between hardware and software organizations.

Requirements

Software development experience in systems software, firmware, drivers, or performance software used to enable new silicon. Proven experience in hardware/software co‑design, including defining interfaces and debugging cross‑layer issues.
Experience working as a technical leader with deep experience in driving collaborations across cross‑functional 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.

Nice To Haves

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

Responsibilities

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 Co‑Design: Drive hardware/software interface definition, ensuring architecture choices support and reflect the drive towards performance and quality. Influence firmware, driver, runtime, and performance software design to align with architectural intent.
Early Silicon Enablement: Act as a technical escalation point during early silicon bring‑up, debugging complex cross‑layer issues spanning hardware, firmware, and software. Guide the creation of diagnostics, validation tools, and bring‑up workflows that scale across teams and products.
Cross‑Functional Technical Leadership: 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 bring‑up and translate them into reusable architecture patterns, best practices, and documentation.
Leverages AI‑assisted software development tools to accelerate the design, implementation, review, and documentation of complex software libraries. Establishes best practices for responsible use of AI assistance, including validation, review, and traceability of generated code and technical artifacts.