Student Engineer (Machine Learning, Systems, Hardware, Embedded)
Vivral (Nair Engineering)
Vivral is an AI health assistant that runs frontier-grade medical AI on ordinary computers to reach remote, underserved communities. They are hiring part-time student engineers (sophomores through PhD) for ML, Systems, Hardware, and Embedded roles that are built around class schedules and come with equity.
What you’ll do
- Work part-time around class schedules
- Run and optimize medical AI models on ordinary computers
- Develop firmware and embedded systems
- Design FPGA and digital hardware
- Implement ML models and tooling
What they’re looking for
- Undergraduate (sophomore) through PhD students
- Experience with PyTorch and LLMs for ML roles
- Experience with CUDA/Triton for systems roles
- Experience with FPGA and digital design for hardware roles
- Experience with C/C++ for embedded firmware roles
Skills
- PyTorch: PyTorch, LLMs
- LLMs: LLMs, large models
- CUDA: CUDA, Triton
- Triton: Triton, making large models run fast on everyday hardware
- FPGA: FPGA, digital design
- Digital design: digital design
- C/C++: C, C++, firmware
The post
Vivral (Nair Engineering) | ML, Systems (GPU), Hardware, and Embedded Engineers | Gainesville, FL (UF students) | Part-time | 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