We 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, Generative AI, and Agentic AI. Become part of the group 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 will be doing:
Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance
Performance analysis and optimization for Large Language Model (LLM) inference
Closely follow academic and industrial developments in the field of artificial intelligence and feature update TensorRT-LLM
Implement kernels and runtime features to support new LLM models and inference algorithms
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
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.
Excellent Python programming skills, software design, and software engineering skills
Awareness of the latest developments in LLM architectures and LLM inference techniques
Experience working with deep learning frameworks like PyTorch and HuggingFace
Proactive and able to work without supervision
Excellent written and oral communication skills in English
Ways to stand out from the crowd:
Prior experience with a LLM inference framework (TensorRT-LLM, SGLang, vLLM, lamma.cpp, MLC-LLM, etc.) or a DL compiler in inference, deployment, algorithms, or implementation
Good understanding about the underlying operations inside the LLM inference frameworks or LLM inference end-to-end workflow
Experience in performance modeling, profiling, debugging, and code optimization of a DL/HPC/high-performance application
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL)
NVIDIA is widely considered to be one of technology’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Does the idea of contributing to and pushing the boundaries of state-of-the-art AI and Compute systems excite you? Interested in getting exposure to the entire DL SW stack? Come join us and help build the GPU-accelerated DL platform used worldwide.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
