ML, Systems (GPU), Hardware, and Embedded Engineers at Vivral (Nair Engineering)
Core
Building frontier-grade medical AI that runs on ordinary computers to provide health support to remote, underserved communities.
Role type
Part-time student ML, Systems, Hardware, and Embedded Engineer
Builds
Medical AI models and systems optimized for local hardware
Domain
Healthcare + AI Systems
Deliverable
production ML models
Required skills
Machine Learning, PyTorch, LLMs, CUDA, Triton, FPGA, digital design, C/C++ firmware
Preferred skills
Sophomore through PhD level, class schedule flexibility
Technologies
PyTorch, LLMs, CUDA, Triton, FPGA, C, C++
Responsibilities
Develop machine learning models, optimize systems for everyday hardware, design FPGA/digital circuits, write embedded firmware
Seniority
Student (Sophomore through PhD), Part-time
