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Deep Learning Compiler Engineer - CUDA

NVIDIA
July 13, 2026
Full-time
On-site
Shanghai, China
EDA Jobs, Level - Entry or Early Career

Job Title

Deep Learning Compiler Engineer - CUDA

Role Summary

Work on the design and implementation of a tile-aware GPU programming model: its DSL and core compiler, with a focus on performance for emerging GPU architectures. The role sits in NVIDIA's Architecture group, which develops parallel programming models, compiler infrastructure, and architecture features to maximize GPU performance.

The engineer will analyze AI/LLM workloads, iterate on compiler architecture, and propose compiler- and DSL-level solutions for next-generation GPUs.

Experience Level

Entry-level. The posting requests 2+ years of relevant work experience.

Responsibilities

Primary engineering and architecture tasks for the compiler and programming model:

  • Design and implement the DSL and core compiler for a tile-aware GPU programming model.
  • Iterate on compiler architecture to improve performance and code generation quality.
  • Investigate next-generation GPU architectures and adapt the DSL/compiler stack accordingly.
  • Perform performance analysis on emerging AI/LLM workloads and integrate results with AI/ML frameworks.

Requirements

Core technical requirements and preferred skills.

  • Must-have: 2+ years of relevant work experience.
  • Must-have: Strong C/C++ programming and general software engineering skills.
  • Must-have: Solid fundamentals in computer architecture and problem abstraction.
  • Preferred: Compiler experience (knowledge of MLIR/TVM/Triton/LLVM is desired).
  • Preferred: Knowledge of GPU architecture and fast kernel programming.
  • Preferred: Familiarity with LLM algorithms or HPC domains; multi-GPU distributed communication experience is a plus.
  • Preferred: Good oral communication in English.

Education Requirements

Master's or PhD in Computer Engineering, Computer Science & Engineering, Computer Science, AI, or equivalent practical experience. Equivalent practical experience in related technical fields is acceptable.


About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

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Date Posted: 2026-07-10