Architecture Modeling Engineer

Arago; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Stock options

Health benefits

Pension contributions

25 days PTO

Résumé du poste

Arago in Paris is seeking an Architecture Modeling Engineer to own performance modeling and workload analysis for its optical AI accelerator, collaborating across hardware and software to evaluate design choices and optimize kernels. You will translate workload requirements into architecture decisions and high-performance software on silicon.

The role requires strong math, computer architecture, and C/C++/Python skills, with experience in AI workloads and cross-team collaboration.

Qualifications

• Strong mathematical background in linear algebra, probability, numerical methods, and performance analysis.
• Deep knowledge of computer architecture, including pipelines, memory hierarchies, interconnects, and parallel execution.
• Proficiency in C/C++ and Python programming.
• Experience analyzing and optimizing performance-critical kernels or low-level workloads.
• Solid understanding of AI/ML workloads, tensor operations, data movement, and execution patterns.

Responsabilités

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

Connaissances

Math background

Computer architecture

C/C++ programming

Python programming

Performance analysis

AI/ML workloads

Cross-functional collaboration

English proficiency

Outils

Profiling tools

Description du poste

Meet Arago and the Aragonians

Arago’s mission is to re-engineer the foundations of computing from first principles.

The explosive growth of AI is pushing the industry to rethink how processors are built. Arago is meeting that challenge with a proprietary technology that fuses optical and CMOS technologies to deliver an order-of-magnitude increase in performance.

Arago is the fastest, and currently the only, company to have built such a processor. It's backed by leading deep-tech investors and some of the most respected figures in semiconductors and computing, including the CEO of Arm, the founder of macOS who worked directly with Steve Jobs at Apple, an Nvidia Fellow, the Head of Optics at Google, and many other industry leaders.

Our work is guided by three clear values: do great things, move with high velocity, and operate as one unit. We work in a demanding environment where constant learning, ownership, and execution are expected, and where exceptional people have the opportunity to do their life’s work.

What you’ll do

As Architecture Modeling Engineer you will own performance modeling and workload analysis for Arago's optical AI accelerator, working across hardware and software teams to evaluate design choices, shape the programming model, and optimize key compute kernels. This role turns workload requirements into architecture decisions and, ultimately, high-performance software on silicon.

Required Skills and Experience

• 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.

Nice to have

• Strong industry knowledge about AI hardware, GPUs, memory generations, 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 in novel computing architectures: analog computing, in-memory computing, heterogeneous systems.

Pay and benefits

• Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
• Meaningful stock option plan offered (included in the majority of full time offers).
• Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
• Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.

We look forward to hearing how you can help shape the future of AI at Arago.