Principal Architect, Performance Analysis and Modeling

Architect for AI application performance analysis and modeling.

• •d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software.
• •Key Responsibilities Analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio-generation) Contribute Hardware and Software features that power the next generation of inference accelerators in datacenters Analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications Creating analytical models to project performance on current and future generations of d-matrix hardware Proposing new HW/SW features to enable or accelerate these algorithms Requirements BSEE with 10+ years of industry experience or MSEE preferred with 8+ years of industry experience Solid grasp through academic or industry experience in multiple of the relevant areas
• •computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs) Programming fluency in C/C++ or Python Experience with developing analytical performance models, architecture simulators for performance analysis Research background with publication record in top-tier architecture, or machine learning venues is a huge plus