AI Computing Development Intern, TensorRT-LLM - 2027
Core
Develop robust, scalable inferencing software for TensorRT-LLM to accelerate LLMs and generative AI on NVIDIA GPUs.
Role type
Software Development Engineering Intern (AI Computing)
Builds
GPU-accelerated deep learning inference software (TensorRT-LLM)
Domain
AI / Deep Learning / GPU Computing
Deliverable
production ML models
Required skills
C/C++ programming, software design, performance analysis, deep learning frameworks (TensorFlow, PyTorch), debugging, test design
Preferred skills
Academic research experience, publishing in scientific conferences, architecture and hardware design knowledge
Technologies
TensorRT-LLM, TensorFlow, PyTorch, C/C++
Responsibilities
Craft and develop robust inferencing software, perform performance analysis and optimization, follow academic developments to update TensorRT-LLM, provide feedback on architecture and hardware design, collaborate with software and research teams, publish key results in scientific conferences
Seniority
Intern
