Principal Performance Modeling Architect

OXMIQ designs GPU and AI silicon for large-scale model inference and training and builds system software and analysis platforms to validate those designs. The Principal Performance Modeling Architect will own and extend the system-solution performance modeling platform, analyze performance, energy, and cost across accelerator and cluster architectures, and influence silicon, pricing, and customer decisions with simulation-backed models.

Responsibilities:

• Own and extend OXMIQ's system-solution performance modeling platform end to end — Speed-of-Light modeling of performance, energy, and cost-per-token across heterogeneous accelerator hardware and cluster topologies
• Extend the platform beyond LLM inference to training workloads and vision-transformer / multimodal models , defining the modeling approach for each new workload class
• Influence silicon and system architecture decisions by turning proposed designs into defensible, simulation-backed numbers ahead of capital commitment
• Make the platform more extensible and agent-driven, including exposing analysis capabilities through the OxCapsule interface
• Validate and reason about simulation results — correlating model outputs against the observed behavior of real workload frameworks (e.g., vLLM, SGLang, training stacks) and continuously tightening model fidelity
• Set and own the platform's technical direction in line with the executive vision, uphold engineering and code-quality standards, and provide technical guidance to interns supporting the work
• Serve as a technical point of contact in selected proposal and partner engagements