Description
NVIDIA is seeking a cuTile Core Compiler Architect to join its Architecture group. The successful candidate will design and implement the DSL and core compiler of a tile-aware GPU programming model for emerging GPU architectures.
Responsibilities:
- Design and implement the DSL and core compiler of tile-aware GPU programming model for emerging GPU architectures
- Continuously innovate and iterate on the core architecture of the compiler to consistently optimize performance
- Investigate next-generation GPU architectures and provide solutions in the DSL and compiler stack
- Explore the optimal form of compiler/DSL in the era of agentic coding
- Perform performance analysis on emerging AI/LLM workloads and integrate with AI/ML frameworks
Requirements:
- Master's or PhD or equivalent experience in a relevant discipline (CE, CS&E, CS, AI)
- Excellent C/C++ programming and software engineering skills; ACM background is a plus
- Good fundamental knowledge of computer architecture
- Strong ability in abstracting problems and resolving them
- Strong compiler background, including MLIR/TVM/Triton/LLVM
- Good knowledge of GPU architecture and fast kernel programming skills is a plus
- Knowledge of LLM algorithms or a certain HPC domain is a plus
- Knowledge of multi-GPU distributed communication is a plus
- Familiarity with the agentic coding development workflow is a plus
- Excellent oral communication in English is a plus
NVIDIA offers highly competitive salaries and a comprehensive benefits package.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Deep-Learning-Compiler-Intern---2027_JR2026262