
Lab Director / AI Infrastructure for Large Scale Models M/F
- Boulogne-Billancourt, Hauts-de-Seine
- CDI
- Temps-plein
- Strategic Leadership: Define and lead the lab's R&D strategy in AI infrastructure for large-scale model training and inference. Identify core research problems and long-term innovation goals.
- Technology Innovation & Delivery: Lead the team in cutting-edge research and engineering in areas such as distributed parallel computing, automatic parallelization, graph scheduling, and numerical computing. Ensure high-quality technology delivery and practical integration.
- Team Leadership: Build, manage, and mentor a top-tier team of researchers and engineers. Foster a high-performance, innovation-driven culture.
- Cross-Team Collaboration: Collaborate closely with the headquarters and global research teams to align efforts and achieve integrated technology deployment.
- External Influence: Represent the company in global academic and industrial communities. Participate in or lead top-tier conferences (e.g., NeurIPS, ICLR, MLSys, OSDI, SC) and engage in standardization or open-source initiatives.
- Distributed Parallelism: Automatic parallelization, pipeline parallelism, tensor parallelism, and communication optimization
- Execution Graph Optimization: Dynamic/static computation graph scheduling and compiler-level graph optimization
- Numerical Computation: Sparse training, mixed precision, low-rank decomposition, dimensionality reduction
- Heterogeneous Computing Systems: System co-design across GPU/NPU hardware, memory, and communication subsystems
- You will have the opportunity to tackle some of the most challenging technical problems in AI infrastructure, collaborating with leading research teams across Europe and China. This role offers a high degree of autonomy, allowing you to lead critical research directions and make significant technical decisions with real impact.
- The company provides an attractive compensation package, including competitive salary, bonuses, and a long-term incentive plan.
- Join the company to help build the future of scalable AI systems. The company is looking for passionate leaders who are eager to drive innovation and make a meaningful difference in the era of foundation models.