Architecture Modeling Engineer - Shape AI Accelerator Performance

Arago; Paris; On-site; EUR 110,000 - 145,000; Full time

Benefits offered by this job

Stock options

Healthcare

Pension contributions

Professional development support

25 days PTO

Job summary

Arago is seeking an Architecture Modeling Engineer to own performance modeling and workload analysis for its optical AI accelerator, collaborating across hardware and software teams to influence design decisions and optimize critical kernels on silicon.

You will develop models to evaluate architectures, characterize AI workloads, and guide programming model decisions, while helping translate workload behavior into software requirements and performance targets.

Qualifications

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

Responsibilities

• Develop fast, flexible performance models to evaluate AI accelerator architecture choices and guide early design decisions.
• Work closely with the software team to characterize key AI workloads, kernels, dataflows, and system bottlenecks.
• Work closely with hardware architects to model compute, memory, interconnect, and scheduling behavior across proposed architectures.
• Drive 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 for the accelerator.
• Following architecture definition, work hands-on with the software team to optimize compute kernels and key workloads for the target hardware.
• Build lightweight simulation, profiling, and analysis tools that support fast iteration from architecture exploration through software optimization.

Skills

Math background

Computer architecture

C/C++

Python

Performance analysis

AI/ML workloads

Cross-team collaboration

English proficiency

Job description

Arago is seeking an Architecture Modeling Engineer to own performance modeling and workload analysis for its optical AI accelerator, collaborating across hardware and software teams to influence design decisions and optimize critical kernels on silicon.

You will develop models to evaluate architectures, characterize AI workloads, and guide programming model decisions, while helping translate workload behavior into software requirements and performance targets.