General Summary:

- Design machine frameworks for Adreno GPU accelerator for computer vision and generative Ai needs

- Good understanding of network architectures, how a deep learning framework optimizes it to efficiently run on target accelerator

- OpenCL (or similar like CUDA) kernel programming knowledge and optimization techniques to get best performance from hardware

- Compiler optimization knowledge at graph level as well tensor IR

- Working experience with any one open source compiler frameworks like TVM, MLIR, LLVM, XLA etc

- Experience of understanding and integrating vendor acceleration SDK like CUDNN, Adreno OpenCLML, TensorRT, ArmNN inot inferenceing frameworks is a plus

- C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends.

- Scripting: Strong expertise in Python with design, develop, release and maintain projects.

- AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc.Machine Learning Knowledge:





- Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to current trends.Expertise to deep learning accelerator programming (GPU, NPU).

- Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus.Experience with deep leaning compilers like Glow, TVM etc is a plus.

Minimum Qualifications:

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience

- ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience

- ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience

📌 Deep Learning Framework and Compiler Engineer (Bengaluru)
🏢 Qualcomm
📍 Bengaluru