Opportunities · Internship
LLM Algorithmic Optimization Engineer Intern
NIO · San Jose, CA
Applies on Workday
Dates for this one
Only the dates this listing publishes. Anything it leaves out is left out here too.
Posted
Oct 11, 2024
What matters in this listing
What you'll own
- Collaborate with cross-functional teams to ensure the integration of optimized models into real-world automotive applications.
Requirements and eligibility
- Currently pursuing or completed a PhD or Master’s degree in Computer Science, Computer Engineering, Applied Mathematics, Communications, Electronics, or a related field with relevant research projects and publications.
- Strong understanding of GPU/NPU architecture and optimization techniques to identify and address bottlenecks.
- Proficient in LLM and VLM architectures and algorithms, familiar with transformer based NLP / Audio / CV algorithms and technologies.
- Proficiency in Python and experience with AI-related training and inference tools such as PyTorch.
Preferred, not required
- Experience in LLM inference optimization on resource constrained edge devices is a plus.
- Experience in inference optimization techniques of deep learning models or libraries on hardware architectures;
- Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework
Verified by UTern
We last read this listing under an hour ago.