AI is writing GPU code even human engineers can't fully understand
Engineers who work with CUDA, used for programming Nvidia's chips, are increasingly managing AI coding agents. Demand for CUDA expertise remains high.
TL;DR
- CUDA engineers, specializing in Nvidia's AI chips, are moving from writing code to managing AI coding agents.
- AI is automating the painstaking process of generating and testing GPU kernels, previously done by human engineers.
- This shift requires engineers to set goals, check results, and handle 'bizarre' AI-generated bugs.
- Demand for CUDA engineers remains strong, with specialized skills growing even as overall software engineering demand dips.
- AI is lowering the barrier for less experienced engineers while pushing veterans towards higher-level oversight roles.
- AI is already outperforming human engineers on certain benchmarks for writing CUDA kernels.
- In some cases, AI writes CUDA code that engineers can verify but not fully understand, hinting at 'superhuman' AI.