Nvidia Senior DL Algorithms Engineer - Inference Optimizations 

United States, Texas 

97170803

What you will be doing:

• Understand, analyze, profile, and optimize deep learning inference workloads on state-of-the-art hardware and software platforms.

• Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.

• Implement production-quality software across NVIDIA's deep learning platform stack, such as TensorRT, TensorRT-LLM and vLLM.

• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

• 5+ years of experience.

• MSc or PhD in CS, EE or CSEE or equivalent experience.

• Strong background in deep learning and neural networks, in particular training and inference optimizations.

• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

• Proven experience analyzing, modeling and tuning application performance.

• Programming skills in C++ and Python.

Ways to stand out from the crowd:

• Strong fundamentals in algorithms.

• Experience with production deployment of Deep Learning models, especially LLMs and multimodal.

• Proven experience with processor and system-level performance modeling.

• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.