The company is seeking experienced technical specialists in GPU Kernels to audit and evaluate tasks used for training AI systems. The role involves identifying technical errors such as memory allocation bugs and execution bottlenecks to ensure training workflows are accurate and rigorous. Candidates must have professional experience in GPU Kernel development, specifically with CUDA/Triton programming and parallel computing.