GPU Engineer

Description

We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimising, and deploying GPU-accelerated solutions for high performance deep learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms. (e.g., NVIDIA CUDA or AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and DL system integration

Requirements

• 2+ years of hands-on experience in GPU programming, preferably using CUDA, or other GPU APIs like HIP, OpenCL etc.,
• Strong understanding of GPU architecture, memory hierarchy, shared memory, bank conflicts and parallel programming models.
• Proficiency in C/C++ and hands-on experience developing on Linux-based systems.
• Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto