FY27 Intern - ML Compiler Research Intern - 6 months, Strasbourg, France
Core
Research compiler and runtime techniques for efficient Generative AI inference on modern AI accelerators.
Role type
Research intern (ML Compiler)
Builds
Experimental compiler prototypes and performance-analysis infrastructure for Generative AI workloads.
Domain
Generative AI, Compiler Optimization, High-Performance Computing
Deliverable
research
Required skills
Compilers and program optimization, Machine learning systems, High-performance computing, Parallel programming, Computer architecture, C++, Python, LLVM/MLIR, GPU or accelerator programming
Responsibilities
Explore automatic optimization and auto-tuning techniques for high-performance AI kernels, Investigate compiler techniques for generating and optimizing specialized implementations from model or intermediate representations, Develop profiling-guided approaches for evaluating and selecting alternative implementation strategies, Explore efficient management and reuse of on-chip memory using compiler analysis of tensor lifetimes and data dependencies, Analyze the interaction between computation scheduling, data movement, memory usage, and model structure, Evaluate new optimization techniques on representative Generative AI workloads and accelerator architectures
