AI-Driven Application Developer (HPC/AI Tooling)

Join Bull, a leading European technology company, as an AI-Driven Application Developer. In this role, you will design, develop, and maintain a critical internal tooling platform dedicated to HPC/AI cluster design. You will leverage modern AI-assisted development tools to accelerate coding and problem-solving. This position offers the opportunity to work on cutting-edge AI-assisted development workflows and contribute to a strategic tool for HPC/AI infrastructure design.

• Développer, productiser et maintenir une application interne critique pour la conception et la simulation de clusters HPC/AI.
• Utiliser des outils de développement assistés par l'IA pour accélérer le codage, le prototypage et la résolution de problèmes.
• Participer à l'ensemble du cycle de vie du logiciel : conception, mise en œuvre, test, déploiement et maintenance.

Profile description

**Technical Skills & Experience**

• Strong experience in software development in a Linux environnent.
• Familiarity with AI-assisted coding tools (e.g., Claude, Gemini, Copilot) and modern development practices
• Experience building and maintaining web applications or internal tooling
• Understanding of HPC, distributed systems, or AI infrastructure (clusters, GPUs, networking, scheduling) is highly desirable
• Knowledge of:

• o APIs and backend development
• o Frontend frameworks (React, Vue, or equivalent)
• o Databases (SQL/NoSQL)
• o Version control (Git)

• Experience with CI/CD pipelines, automation, and DevOps practices using AI-driven tooling.
• Ability to troubleshoot, debug, and optimize complex systems

**Soft Skills & Mindset**

We are looking for someone who is not only technically strong but also demonstrates the right mindset

• Reactive and proactive: able to quickly respond to issues and adapt to changing priorities
• Open-minded: embraces new ideas, tools, and ways of working (especially AI-driven development)
• Eager to learn: continuously develops skills and stays up to date with emerging technologies
• Knowledge sharing: actively contributes to team growth by sharing insights, best practices, and feedback
• Collaborative: works effectively with cross-functional teams
• Autonomous: capable of driving tasks independently while maintaining alignment with team goals

**Nice to Have**

• Experience in HPC cluster design, capacity planning, or performance modeling
• Exposure to AI workloads and infrastructure constraints
• Exposure to network fabric design and implementation
• Familiarity with containerization