ML, Systems (GPU), Hardware, and Embedded Engineers
Summary
Part-time student engineering roles at Vivral, an AI health assistant that runs medical AI on ordinary computers instead of the cloud to reach underserved communities. Work spans ML (PyTorch, LLMs), GPU systems (CUDA/Triton), FPGA/digital hardware, and embedded C/C++ firmware, scheduled around classes and paid in equity.
Vivral is an AI health assistant that helps people understand their health. We run frontier-grade medical AI on ordinary computers instead of the cloud, so health support can reach remote, underserved communities. Already tested by researchers at UF, Michigan, and Princeton.
We're hiring part-time student engineers (sophomores through PhD): Machine Learning (PyTorch, LLMs), Systems (CUDA/Triton, making large models run fast on everyday hardware), Hardware (FPGA, digital design), and Embedded (C/C++ firmware). Roles are built around class schedules and come with equity that vests over time.
Apply (10 minutes): https://forms.gle/PrewX9oGEj7fCMR46 More: nairengineering.com