AI Solution Architect - Graduate Intern

About the role

The internship supports deployment, validation, and benchmarking of AI accelerator systems and multi-node clusters, including log-based debugging of hardware, firmware, and software failures. Interns also run PyTorch and vLLM workloads, build Python automation tools, and contribute to end-to-end AI solutions. Candidates need Python, Linux, and computer architecture fundamentals and must be enrolled in a Master's program.