Director of Silicon Performance and Design Execution

Job Overview

The Director of Silicon Performance and Design Execution at AMD is tasked with overseeing end-to-end silicon performance and design execution throughout the post-silicon phases. This position necessitates both technical and organizational leadership to ensure the successful attainment of system-level performance and the optimization of hardware/software interactions across a wide range of complex SoCs and accelerators.

Role Summary

The individual will manage a global team of around 30 engineers with an expansion potential to 50. This role is integral to product competitiveness and achieving customer performance outcomes, contributing to the long-term success of silicon roadmaps.

Experience Level

This position requires extensive experience in silicon design engineering, performance architecture, or related fields, alongside proven leadership in managing large global engineering teams.

Key Responsibilities

- Own system-level performance and work toward hardware/software optimizations to enhance overall product performance.
- Lead post-silicon debugging, regression testing, performance analysis, and optimizations to meet product targets.
- Generate methodologies for power and performance modeling and facilitate silicon bring-up.
- Oversee execution across multiple silicon programs, ensuring that performance and power objectives meet deadlines.
- Collaborate with architecture, RTL design, verification, firmware, system software, and product management to mitigate any risks during the silicon lifecycle.
- Enhance tools, processes, and best practices for silicon design and performance engineering.

Requirements

- Deep knowledge of SoC architecture, performance modeling, power analysis, and debugging requirements.
- Experience leading large, cross-functional teams with strong communication skills.
- Ability to navigate complex technical challenges from conceptualization through to post-silicon execution.
- Familiarity with high-performance computing, AI accelerators, GPUs, or large-scale SoCs.
- Background in both hardware and system/software performance optimization with experience interfacing with external customers.

Education Requirements

Bachelor's or Master's degree in Electrical or Computer Engineering is required.