AI Computing Software Development Engineer, TensorRT-LLM
Nvidia · Taipei, Taiwan
About this role
Nvidia is hiring a mid-level Software Engineer based in Taipei, Taiwan. The posting calls out experience with Python, C, CUDA, PyTorch and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Taipei, Taiwan
- Experience
- 3+ years
- Education
- Master's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are now looking for a Software Development Engineer for LLM inference!
NVIDIA is hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT, and GenerativeAI that have put DL at the “iPhone moment” for AI. Join the team which is building the inference software which will be used across our product lines! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.
What you'll be doing:
Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance
Performance analysis, optimization, and tuning for Large Language Models (LLMs)
Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM
Provide feedback into the architecture and hardware design and development
Collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams
Publish key results in scientific conferences
What we need to see:
Master or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
3+ years of relevant software development experience.
This is an excerpt. Read the full job description on Nvidia careers →