Responsibilities
THE ROLE:
AMD AI Group is seeking a highly influential technical leader for the role of AMD Fellow, OneROCm
— driving a unified ROCm software stack across AMD’s broad product portfolio, including Instinct, Radeon, Ryzen, Embedded, Game Consoles, and Autonomous Driving platforms. This is a rare opportunity to lead architecture, drive innovation, and help develop next-generation products at company-wide scale.
The ideal candidate will define the end-to-end ROCm software strategy and influence the full stack, spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers. The role also requires strong hardware/software co-design leadership to maximize performance across diverse AMD products and workloads. The ideal candidate is expected to be highly hands-on and embrace agentic AI workflows.
THE PERSON:
You are a strong technical leader who is able to work across organizations, align architecture with product goals, and influence both near-term execution and long-term roadmap decisions.
You bring deep expe rtise in at least one major area of the stack, while also demo nstrating the curiosity, adaptability, and technical breadth to learn new domains, grow their impact, and influence the broader ecosystem.
As a s uccessful candidate
, y ou are recognized for technical excellence, cross-functional leadership, and the ability to drive company-wide innovation through collaboration across silicon, system software, AI/ML frameworks, libraries, and application enablement teams.
KEY RESPONSIBILITIES:
- Strategic Leadership: Set the technical vision and roadmap for AI software stack across all AMD products
- , ensuring AMD remains the platform of choice for top-tier AI customers.
- Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends.
- Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and
- MoE
- ) to ensure "out-of-the-box" performance excellence on AMD hardware.
- Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting.
- Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations.
- Community & Mentorship: Act as a technical ambassador in industry forums and open-source communities. Mentor and inspire the next generation of AMD’s technical leaders and engineers.
- PREFERRED EXPERIENCE: Knowledge in GPU architectures, basic knowledge of CPU architecture
- Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers
- Understanding of GPU programming such as ROCm, CUDA, OpenCL, etc
- Experience in hardware/software co-design, building high-performance products across the full product lifecycle.
- Experience with operating systems (OS) and device driver development is a plus
- ACADEMIC CREDENTIALS: Undergrad degree required.
- Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred
- LOCATION; San Jose, other locations will be considered.
Qualifications
