AI/ML Hardware
Originally posted 5 October 2026 by the employer.
Lead the organization-wide adoption of AI-driven methodologies across x86 Core Development.
About the role
This role involves leading the organization-wide adoption of AI-driven methodologies across AMD's x86 Core Development Organization, owning the technical vision and execution strategy for embedding AI/ML into engineering workflows. This includes functional verification, RTL design, and physical design.
What you'll do
- Own the strategy, roadmap, and organizational adoption of AI-driven methodologies across verification, RTL design, and physical design within x86 core development.
- Build, lead, and grow a team of engineers and technical leaders driving AI adoption initiatives.
- Partner with Cores engineering leadership, architecture, design, verification, physical design, and internal tooling/data engineering teams to prioritize investments and align AI initiatives.
- Define and own organizational success metrics, including verification velocity, coverage closure, PPA (power, performance, area) targets, design-cycle schedule adherence, and defect escape rate.
- Drive evaluation and adoption decisions on emerging AI tools and platforms.
- Lead organizational adoption of AI-augmented workflows, including technical enablement, training, and best-practice development.
What you'll need
- Significant experience leading engineering organizations, with a track record of driving large-scale, cross-functional technical initiatives; prior people-management experience.
- Direct experience in CPU or SoC development, including verification, RTL design, and/or physical design.
- Demonstrated experience applying AI/ML or data science approaches to engineering, hardware design, or EDA problems.
- Ability to set and defend a multi-year technical strategy, translate it into execution plans, and adjust direction.
- Broad knowledge of AI/ML technology, algorithms, and tooling, and how they map to EDA and silicon development workflows.
- Superb communication skills at the executive level; experience managing organizational investments, external vendors (including EDA vendors), and complex technical initiatives.
Nice to have
- Experience spanning more than one of verification, RTL design, and physical design.
- Hands-on technical background with AI/ML tooling and frameworks.
- Experience building an organization or practice from the ground up.
- Familiarity with EDA tooling and vendors (e.g., Synopsys, Cadence, Siemens EDA) and how AI/ML capabilities are being integrated into commercial and open-source EDA flows.
Skills: AI-driven methodologies, functional verification, RTL design, physical design, engineering leadership