Director -AI Driven Silicon Design

Advanced Micro Devices, Inc•Fishkill, NY

2d•Onsite

About The Position

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE: AMD is searching for a Director of Silicon Design to lead the organization-wide adoption of AI-driven methodologies across our x86 Core Development Organization. This role owns the technical vision and execution strategy for embedding AI/ML into engineering workflows spanning functional verification, RTL design, and physical design. You will build and lead a team of engineers and technical leaders, set the multi-year vision for AI adoption in core development, and be accountable for measurable improvements in engineering efficiency and design quality. You will engage directly with Cores engineering leadership to align investments, technical priorities, and organizational adoption, and will represent AI strategy and technical direction to executive stakeholders. THE PERSON: The ideal candidate combines proven engineering leadership with credible depth in AI/ML and a working understanding of CPU core development across verification, RTL design, and/or physical design. You can set and defend a multi-year AI adoption strategy, translate it into technical execution and measurable outcomes, and build organizational buy-in from engineers and executives alike. Broad knowledge of AI/ML technology, algorithms, and tooling, and how they map to EDA and silicon development workflows, is essential for this position.

Requirements

BS, MS, or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or a related field, with direct experience.
Significant experience leading engineering organizations, with a track record of driving large-scale, cross-functional technical initiatives; prior people-management experience leading engineers and technical leaders.
Direct experience in CPU or SoC development, including verification, RTL design, and/or physical design, sufficient to credibly set priorities and evaluate tradeoffs across these domains.
Demonstrated experience applying AI/ML or data science approaches (or leading teams that do) to engineering, hardware design, or EDA problems, with measurable business or engineering outcomes.
Ability to set and defend a multi-year technical strategy, translate it into execution plans, and adjust direction based on a changing technical and business landscape.
A mindset that accepts accountability for organizational outcomes, ensuring technical decisions align with business and engineering goals.
Superb communication skills at the executive level; experience managing organizational investments, external vendors (including EDA vendors), and complex technical initiatives.
Experience spanning more than one of verification, RTL design, and physical design.
Hands-on technical background with AI/ML tooling and frameworks sufficient to engage credibly with engineering teams on model approaches, data pipelines, and tooling architecture.
Experience building an organization or practice from the ground up, including hiring, defining operating processes, and establishing new organizational capabilities.
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.

Responsibilities

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 (e.g., predictive coverage modeling, intelligent test generation and triage, RTL code assistance, timing/congestion prediction, floorplan and place-and-route optimization).
Partner with Cores engineering leadership, architecture, design, verification, physical design, and internal tooling/data engineering teams to prioritize investments and align AI initiatives to business and engineering priorities.
Define and own organizational success metrics, including verification velocity, coverage closure, PPA (power, performance, area) targets, design-cycle schedule adherence, and defect escape rate, and communicate progress to executive stakeholders.
Drive evaluation and adoption decisions on emerging AI tools and platforms (open-source, EDA-vendor, and internally built), including build-versus-buy and infrastructure investment recommendations.
Lead organizational adoption of AI-augmented workflows, including technical enablement, training, and best-practice development.
Identify, escalate, and resolve cross-organizational technical challenges and barriers to successful AI adoption.
Manage organizational headcount planning and resource allocation for the AI engineering team.
Serve as the primary executive point of contact for AI adoption initiatives within core development, presenting strategy, progress, and business impact to senior and executive leadership.
Mentor engineers and technical leaders on applying AI/ML methods to solve complex design and development challenges.