Architecture Modeling Engineer

Job Title

Architecture Modeling Engineer

Role Summary

Own performance modeling and workload analysis for Arago's optical AI accelerator, working across hardware and software teams to evaluate architecture choices, shape the programming model, and optimize compute kernels.

This role converts workload requirements into architecture decisions and implements performance-driven software optimizations for the target hardware.

Experience Level

Mid-level. No specific years-of-experience requirement stated.

Responsibilities

Deliver performance models, characterize workloads, and collaborate with hardware and software teams to guide design and optimization.

• Develop fast, flexible performance models to evaluate AI accelerator architecture choices.
• Characterize key AI workloads, kernels, dataflows, and system bottlenecks with the software team.
• Model compute, memory, interconnect, and scheduling behavior with hardware architects.
• Perform rapid trade-off analyses across throughput, latency, utilization, bandwidth, and efficiency.
• Define and validate the programming model and workload mapping strategy for the accelerator.
• Implement and optimize compute kernels and critical workloads on the target hardware.
• Build lightweight simulation, profiling, and analysis tools to support architecture exploration and software optimization.

Requirements

Must-have technical skills and abilities for the role.

• Strong mathematical background: linear algebra, probability, numerical methods, and quantitative performance analysis.
• Strong knowledge of computer architecture: compute pipelines, memory hierarchies, interconnects, and parallel execution.
• Proficient in C/C++ and Python.
• Experience analyzing and optimizing performance-critical kernels or low-level compute workloads.
• Good understanding of AI/ML workloads, tensor operations, data movement, and execution patterns.
• Ability to translate workload behavior into architecture and software requirements across teams.
• English proficiency at a professional level.

Nice-to-have:

• Industry knowledge of AI hardware, GPUs, memory generations, and rack-scale computing.
• Experience building performance models, simulators, or analytical models for CPUs, GPUs, NPUs, or other accelerators.
• Experience with profiling, benchmarking, and identifying hardware or software performance bottlenecks.
• Experience with novel computing architectures (analog, in-memory, heterogeneous systems).

Education Requirements

Not specified.

About the Company

Company: Arago

Arago is an AI and computer hardware startup (founded 2024) developing AI-driven semiconductor and photonics solutions. The company brings together engineers and researchers in photonics, electronics, software, mathematics, and machine learning to accelerate prototype-to-silicon development across hubs in France, North America, and Israel.