Manager, Large Language Model Inference

NVIDIA • Santa Clara, CA

14d • Hybrid

About The Position

At NVIDIA, we aren't just powering the AI revolution—we're accelerating it. The TensorRT inference platform is the backbone of modern AI, delivering the industry's fastest and most efficient deployment of cutting-edge deep learning models on every NVIDIA GPU. With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team. We're seeking a highly skilled and driven Engineering Manager to take the lead in developing the next generation of LLM/VLM/VLA inference software technologies that will define the future of AI. This is a high-impact, hands-on leadership role at the intersection of deep technical expertise and world-class management. You won't just manage; you'll architect and guide a brilliant team of engineers who are building the core LLM inference runtime. Your work will be highly collaborative, interfacing directly with NVIDIA Researchers, GPU Architects, and other teams across the company to ensure we ship production-grade, lightning-fast software that sets the global standard for AI performance.

Requirements

• MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, or a related technical field.
• 7+ overall years of overall software engineering experience, including 3+ years of technical leadership experience.
• Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups.
• Strong background in C++ or Python, with expertise in software design and delivering production-quality software libraries.
• Demonstrated expertise in large language models (LLM) and/or vision language models (VLM).

Nice To Haves

• Deep understanding of GPU architecture, CUDA programming, and system-level performance tuning.
• Background in LLM inference or working with frameworks such as TensorRT-LLM, vLLM, or SGLang.
• Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem.
• Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.

Responsibilities

• Lead and grow a team responsible for specialized kernel development, runtime optimizations, and frameworks for LLM inference.
• Drive the design, development, and delivery of production inference software, targeting NVIDIA's next-generation enterprise and edge hardware platforms.
• Integrating cutting-edge technologies developed at NVIDIA and offering an intuitive developer experience for LLM deployment.
• Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree