Senior Software Engineer – TensorRT Edge-LLM

Santa Clara, CA, United States • Posted June 06, 2026

Job Type: Full-time
Location: Santa Clara, CA
Posted: June 06, 2026
Category: other-general
Application Deadline: June 11, 2026

Role Description

Are you passionate about pushing the limits of real-time large language model inference? Join NVIDIA’s TensorRT Edge-LLM team and help shape the next generation of edge AI for automotive and robotics. We build the software stack that enables Large Language, Vision-Language, and Multimodal (LLM/VLM/VLA) models to run efficiently on embedded and edge platforms — delivering cutting-edge generative AI experiences directly on-device.


What you’ll be doing:
+ Develop and evolve a state-of-the-art inference framework in modern C++ that extends TensorRT with autoregressive model serving capabilities, including speculative decoding, LoRA, MoE, and KV cache management.
+ Design and implement compiler and runtime optimizations tailored for transformer-based models running on constrained, real-time platforms.
+ Collaborate with teams across CUDA, kernel libraries, compilers, and robotics to deliver high-performance, production-ready solutions.
+ Contribute to CUDA kernel...

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