AI Modelling and Simulation Engineer
Core
Build a Python-based performance and power modelling framework to predict latency, throughput, and power for photonic AI hardware against real inference workloads, serving architecture and compiler teams. (via careerplan.io/jobs/e4324a57-ee87-42e6-b2b4-8d618d8b2368-ai-modelling-and-simulation-engineer-at-lumai)
Role type
Senior IC AI Modelling and Simulation Engineer (Hardware/Software)
Builds
A reliable modelling flow and simulator for photonic AI device configurations
Domain
Optical computing / Photonic AI hardware / AI inference accelerators
Deliverable
production ML models
Required skills
Python framework design, hardware concurrency modelling, event-driven simulation, AI operator characterization, compiler internals (MLIR), CI/CD pipeline ownership, technical leadership
Preferred skills
NPU/GPU accelerator architecture experience, power modelling, RTL/emulation/FPGA prototyping, photonic compute exposure
Technologies
Python, MLIR, UL Procyon, Geekbench AI, Stable Diffusion, LLMs
Responsibilities
Design and maintain hardware/software latency and concurrency modelling frameworks; Characterize convolution, attention, and other operator workloads against hardware/RTL; Build compiler-agnostic interfaces for MLIR; Analyze simulation traces to resolve performance discrepancies; Run industry benchmarks to produce KPIs; Develop block-level power models; Own CI/CD pipelines for simulation flows; Translate findings into architecture decisions and mentor engineers.
