AMD

3 months ago

Principal Modeling Architect - DC GPU

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Last checked: 6 hours agoStatus: Live

Job Summary

Lead workload modeling for AMD’s Data Center GPU organization, defining frameworks to characterize performance, scalability, and resource utilization for AI/ML, HPC, and data analytics workloads. Translate insights into architectural requirements, collaborate across hardware, software, and performance teams, and guide design trade-offs with benchmarking and simulations. Advanced degree preferred; Bay Area or Remote with location in San Jose area.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Develop and refine workload modeling frameworks to characterize and project performance, scalability, and resource utilization for AI/ML, HPC, and data analytics workloads.
•Analyze emerging model architectures (e.g., LLMs, transformer variants, graph neural networks), datatypes, and scaling methodologies to anticipate future platform requirements.
•Collaborate with architecture, silicon design, software, and performance engineering teams to translate workload insights into platform-level technical requirements.
•Lead benchmarking, profiling, and simulation efforts to validate architectural assumptions and guide design trade-offs.
•Produce detailed workload characterization reports, performance projections, and sensitivity analyses to inform platform strategy and technical decision-making.

Key Requirements

•12+ years of experience in workload modeling, performance engineering, system architecture, or related technical domains.
•Demonstrated expertise in modeling and analyzing AI/ML, HPC, or large-scale data analytics workloads on GPU or accelerator platforms.
•Deep understanding of performance modeling methodologies, benchmarking tools, simulation environments, and workload characterization techniques.
•Experience collaborating across hardware, software, and system engineering teams to drive workload-informed architectural decisions.
•Strong analytical, communication, and technical writing skills; ability to synthesize complex data into actionable insights.

Experience:12+ yearsAIHPCGPUData Center

Education:Master's

Languages:English

Tech Stack:ROCmCUDAGPU programmingBenchmarkingSimulationML workloads

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD