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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:

The Sr. Director, Pre-Si System Validation leads AMD's system-level modeling — including emulation — and pre-silicon validation for Data Center GPU platforms. This role ensures early, system-accurate insights across AI, HPC, and cloud-scale environments, accelerating software readiness, reducing integration risk, and enabling end-to-end HW/SW co-design. It drives holistic evaluation of GPU SoCs, platforms, and rack-scale systems ahead of silicon availability. 

Operating at the center of DCGPU execution, the individual partners with architecture, silicon, systems, software, performance, and customer teams, while engaging senior leadership and key customers. 

THE PERSON:

The role owns the end-to-end pre-silicon validation strategy, infrastructure, methodology, and execution across AMD's Instinct™ GPUs, ROCm™ platform, and broader compute ecosystem, with direct interface to executive, CTO, and BU leadership. 

Ability to translate complex technical insights into clear, executive-level recommendations. 

• Track record of operating effectively in fast-paced, high-stakes, and ambiguous environments. 

• Exceptional communication, influence, and executive presence in cross-functional and external-facing environments. 

KEY RESPONSIBILITIES:

System-Level Pre-Si Strategy & Ownership 

• Own the system-level validation strategy and roadmap for Data Center GPU platforms across pre- and post-silicon. 

• Establish emulation as a core DCGPU execution capability, accelerating architectural confidence, software bring-up, and risk reduction. 

• Drive investment and prioritization of emulation infrastructure, tooling, and methodologies aligned to DCGPU scale and timelines. 

AI, HPC, and Platform-Scale Enablement 

• Lead simulation and emulation of GPU SoCs, multi-die architectures, and full system platforms for AI training, inference, and HPC workloads. 

• Enable rack-, pod-, and cluster-level exploration, spanning memory hierarchy, interconnects/fabrics, IO, and platform interactions. 

• Partner with architecture and performance teams to deliver early system-scale performance, power, and scalability insights. 

HW/SW Co-Design & Software Readiness 

• Drive shift-left HW/SW co-design through high-fidelity modeling including emulation, enabling early access for firmware, drivers, runtime, compilers, and frameworks. 

• Integrate emulation into software development and validation flows to improve predictability and time-to-value. 

• Correlate emulation results with workload behavior and performance targets in partnership with performance teams. 

Cross-Functional & Executive Engagement 

• Serve as the executive owner for system-level emulation in architecture, program, and executive reviews. 

• Partner with platform solutions and customer engineering to ensure system readiness for hyperscalers, CSPs, and enterprise customers. 

• Represent AMD in strategic customer and partner engagements where system-level validation is a key differentiator. 

Execution, Talent, and Organizational Leadership 

• Build and lead a world-class system-level emulation organization, including senior architects and people leaders. 

• Establish technical standards, best practices, and governance across emulation, simulation, and hybrid modeling. 

• Mentor senior technical leaders, strengthening AMD's long-term system modeling and emulation bench. 

PREFERRED QUALIFICATIONS:

• Proven leadership of large, multi-disciplinary teams at Sr. Director/VP level 

• Deep expertise in system-level modeling, simulation, and emulation 

• Strong knowledge of AI/HPC workloads, GPU architectures, memory, and interconnects 

• Experience in HW/SW co-design, workload-driven architecture, and performance modeling 

• Ability to translate complex technical insights into clear executive decisions 

ACADEMIC CREDENTIALS:

Advanced degree in Computer Science, Electrical Engineering, or a related field.

#LI-DKDAMD1

This role is not eligible for visa sponsorship.

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.