Senior Deep Learning Manager, 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, GPT-OSS, and HuggingFace, then this could be a great role for you!
What you'll be doing
You will be responsible for managing a team that characterizes the latest LLMs and inference servers like TensorRT-LLM, vLLM, and SGLang to ensure that NVIDIA maintains its leadership position.
Join forces with the performance marketing team to build engaging content, including blog posts and other written materials, that highlight TensorRT-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, TRT-LLM, vLLM, and SGLang 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, Computer Engineering, or related fields, or equivalent experience.
10+ overall years of software development experience and at least 3 years of management experience.
Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations.
Proficiency in Python and C++ 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 frameworks, compilers, or operating systems.
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 examples of novel use cases for agentic AI tools in the workplace.
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 collaborative approach, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.
Average salary estimate
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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