Architecture Modeling Engineer

Arago
Paris
Workplace: OnsiteFull timeFunction: Architecture & Urban PlanningSkills: ["Ownership","Collaboration","Communication","Execution","Problem-solving"]

Own performance modeling and workload analysis for Arago’s optical AI accelerator. Translate AI workload requirements into architecture decisions and high-performance software on silicon by partnering with hardware and software teams. Develop fast performance models and run rapid trade-off studies across throughput, latency, utilization, bandwidth, and efficiency. Build lightweight simulation/profiling tools to move from architecture exploration to kernel optimization and programming model validation.

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FursaFursa
Arago
Arago
1 week ago

Architecture Modeling Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own performance modeling and workload analysis for Arago’s optical AI accelerator. Translate AI workload requirements into architecture decisions and high-performance software on silicon by partnering with hardware and software teams. Develop fast performance models and run rapid trade-off studies across throughput, latency, utilization, bandwidth, and efficiency. Build lightweight simulation/profiling tools to move from architecture exploration to kernel optimization and programming model validation.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning

Key Responsibilities

  • •Develop fast, flexible performance models to evaluate architecture choices and guide early design decisions.
  • •Characterize key AI workloads, kernels, dataflows, and system bottlenecks with the software team.
  • •Model compute, memory, interconnect, and scheduling behavior with hardware architects across proposed architectures.
  • •Run rapid performance studies and trade-off analyses across throughput, latency, utilization, bandwidth, and efficiency.
  • •Help define and validate the programming model and workload mapping strategy, then optimize compute kernels and key workloads with the software team.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsurancePensionLearning BudgetPaid LeaveEquity

Key Requirements

  • •Strong mathematical background in linear algebra, probability, numerical methods, and quantitative performance analysis.
  • •Strong computer architecture knowledge, including compute pipelines, memory hierarchies, interconnects, and parallel execution.
  • •Proficiency 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.
Experience:AI hardwareAI/MLSemiconductorsGPUs
Skills:OwnershipCollaborationCommunicationExecutionProblem-solving
Languages:English
Tech Stack:C/C++CC plus plusPython

Company Brief

Arago
Develops energy-efficient photonic AI processors (codenamed “JEF”) that use light-based computation to drastically reduce energy consumption for AI workloads, targeting data centers and large-scale inference deployments.
Industry: Deep Tech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
Glassdoor
Glassdoor: 3.9
WebsiteGlassdoor