Manager, Large Language Model Inference (Santa Clara)

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.What You’ll Be Doing: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 We Need to See: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).Ways to Stand Out from the Crowd: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.We are widely considered to be one of the technology world’s most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working with us. Due to outstanding growth, our best-in-class teams are rapidly growing. If you're a creative self-starter with a real passion for technology, then come join us.#LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until March 26, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa Clara; US, CA, RemoteType: Full time