🛠 Tech Stack

💼 About This Role

You'll architect and implement distribution libraries and programming model extensions to scale Arago's AI accelerator from single devices to large clusters. You'll validate these systems through hands-on prototype deployments for distributed AI workloads. This role offers ownership of a key technical domain in a fast-paced, multicultural environment.

🎯 What You'll Do

• Develop high-performance distribution libraries for multi-device and multi-node clusters.
• Implement coordination and synchronization protocols in the programming model.
• Build cross-node tracing and debugging tooling.
• Deploy and validate prototype clustered accelerator systems.

📋 Requirements

• Master's or PhD in Computer Science or related field.
• Strong understanding of OS internals (networking, I/O, IPC).
• Solid knowledge of memory safety and concurrency control.
• Proven experience with virtualization frameworks in distributed deployments.

✨ Nice to Have

• Familiarity with parallel programming models (e.g., MPI, NCCL).
• Experience with resource-sharing protocols and distributed memory models.
• Proficient in French.

🎁 Benefits & Perks

• 💰 Competitive cash compensation with stock option plan.
• 🏠 Relocation bonus and moving expense coverage.
• 🏥 Healthcare coverage including family options.
• 🌴 25 days PTO plus public holidays.
• 🚆 50% public transport subscription reimbursement.

📨 Hiring Process

Hiring process includes screening call, technical meeting, CEO interview, reference calls, take-home technical assessment, and final interview.

🚩 Heads Up

• Reference calls with former managers required.
• Take-home technical assignment may be lengthy.