Lead Modeling Architect – Data Center GPU

AMD; San Jose (CA); Hybrid; USD 130,000 - 170,000; Full time

Job summary

AMD is seeking a Principal Modeling Architect for their Product Architecture and Workload Strategy team focused on Data Center GPU. In this role, you will lead the development of advanced workload modeling methodologies, analyze AI and HPC workloads, and collaborate with diverse teams to inform platform strategy. The ideal candidate has over 12 years of experience in workload modeling and a strong foundation in AI/ML technologies. Join us in shaping the future of computing at AMD, with options for Bay Area or remote work.

Qualifications

• 12+ years of experience in workload modeling, performance engineering, or system architecture.
• Expertise in modeling AI/ML, HPC, or large-scale data analytics workloads on GPU platforms.
• Deep understanding of performance modeling methodologies and workload characterization techniques.

Responsibilities

• Develop and refine workload modeling frameworks for AI/ML and HPC workloads.
• Analyze emerging model architectures and anticipate platform requirements.
• Collaborate with architecture and engineering teams to translate insights into requirements.
• Lead benchmarking and simulation efforts to guide design trade-offs.
• Produce workload characterization reports to inform technical decision-making.

Skills

Workload modeling

Performance engineering

AI/ML analysis

System architecture

Data analytics

Benchmarking tools

Communication skills

Education

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

Tools

ROCm

CUDA

Job description

AMD is seeking a Principal Modeling Architect for their Product Architecture and Workload Strategy team focused on Data Center GPU. In this role, you will lead the development of advanced workload modeling methodologies, analyze AI and HPC workloads, and collaborate with diverse teams to inform platform strategy. The ideal candidate has over 12 years of experience in workload modeling and a strong foundation in AI/ML technologies. Join us in shaping the future of computing at AMD, with options for Bay Area or remote work.