Qualifications :
- MS / BS degree in Computer Science or an equivalent
- Deep Knowledge of C / C++ and Python programming
- Experience with Linux Commands is must
- Experience with Scripting language like bash / powershell
- Understanding of various python ML frameworks like Pytorch, Transformers etc
- Understanding of various language and compiler for writing highly efficient custom Deep-Learning GPU Kernels. like Triton / Jax
- Hands on Debugging Experience with gdb, valgrind etc
- Experience and understanding of AI Models and Inferencing Engines like Experience with Profiling tools needed to debug CUDA / ROCm Kernels like nsys / rocprof is a plus.
- Knowledge of GPU architecture, PC architecture
- Experience in writing ROCM / CUDA Kernels / Shader
- Deep understanding and experience in implementation of Machine learning and AI algorithm.
- Good communication skills and able to work with stakeholders effectively
- Knowledge of x86 assembly language and x86 / x64 CPU instructions is a :
1. Work on latest machine learning technologies
2. Work on supporting for latest Linux operating system
3. Work on AMD next generation GPUs / Accelerators
4. Work on optimizing latest Rocm drivers and improve performance
5. Design new machine learning technologies
(ref : hirist.tech)