We are now looking for a Senior Deep Learning Architect for LLM Inference!

NVIDIA is at the forefront of the generative AI revolution. The Inference Benchmarking (IB) team specifically focuses on advanced inference server performance for Large Language Models (LLMs). If you're passionate about pushing the boundaries of GPU hardware and software performance and understand terms like pre-fill phase, generation phase, paged attention, MoE, Tensor Parallel, Llama, Mixtral, and HuggingFace, then this could be a great role for you!

What you'll be doing:

• You will be responsible for characterizing the latest LLMs and inference servers like vLLM and DeepSpeed-MII to ensure that TRT-LLM maintains its leadership position.

• Join forces with the performance marketing team to build engaging content, including blog posts and other written materials, that highlight TRT-LLM's outstanding achievements.

• Collaborate with engineers from AI startup companies to debug and establish standard methodologies.

• Profile GPU kernel-level performance to identify hardware and software optimization opportunities.

• Develop profiling and analysis software tools that can keep up with the rapid pace of network scaling.

• Contribute to deep learning software projects, such as PyTorch, vLLM, and LLMPerf, to drive advancements in the field.

• Verify that TRT-LLM's performance meets expectations for new GPU product launches.

• Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams to ensure world-class performance.

What we need to see:

• Master's or PhD degree in Computer Science, Electrical Engineering, or related fields, or equivalent experience.

• 3+ years of relevant / meaningful work experience.

• Detailed knowledge of deep learning inference serving, PyTorch programming and profiling, and compiler optimizations.

• Proficiency in C++ and Python programming languages and familiarity with CUDA.

• Experience with LLMs and their performance challenges and opportunities.

• Solid understanding of CPU and GPU microarchitecture and performance characteristics.

• Experience with complex software projects like compilers, operating systems, or frameworks.

• Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

• Demonstrate a drive to continuously improve software and hardware performance.

• Showcase a proven history of developing workplace efficiency tools.

• Experience with database and visualization tools like D3.js will set you apart.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have a team of highly skilled and motivated individuals who excel in their work. If you have a proactive and independent approach, we want to hear from you!

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.