Ai Compiler Engineer

1 week ago


Singapore NodeFlair Full time

**Job Summary**:
**Job Type**
Permanent

**Seniority**

Junior

**Years of Experience**
Information not provided

**Tech Stacks**
Strategy Graph TensorFlow C++ PyTorch C Python

**Job Overview**:
**Key Accountabilities**:

- Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
- Contribute to the development of the industry-leading ML framework core compilers to support new state of the art inference and training ML HW accelerators and optimize their performance.
- Analyze deep learning networks, develop & implement compiler optimization algorithms.
- Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Computer vision, NLP.
- Performance tuning & optimizations of deep learning frameworks.

**Key Attributes**:
**Minimum Qualifications**
- Bachelor's degree in Computer Science, Computer Engineering, relevant Technical field, or equivalent practical experience.
- Effective C/C++/Python programming skills.
- Experience in accelerating deep learning models or libraries on hardware architectures.
- Experience with CUDA programming, OpenMP/OpenCL programming or AI hardware accelerator kernel programming.
- Ability to speak and write in English at a business level.

**Preferred Qualifications**
- Relevant work or experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD.
- Experience with MLIR, LLVM, IREE, XLA, TVM, Halide.
- Knowledge of GPU, CPU or AI hardware accelerator architectures.
- Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT.
- Relevant work or experience with runtime analysis & optimizations for latency, memory bandwidth, I/O access, compute utilization analysis etc.

We are committed to creating a diverse culture where everyone is included and feels a sense of belonging. For more information, please read our Diversity & Inclusion Statement.



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