- MS/BS degree in Computer Science or an equivalent.
- 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.,br> • Experience and understanding of AI Models and Inferencing Engines like vllm/ollama/llama.cpp/sglang.
- 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 plus.
Responsibilities:
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 current machine learning technologies.
📌 (204) Machine Learning Software Engineer (GPU / ROCm / CUDA / C++ / Python)
🏢 Symphisys
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.