Engineering Manager, AI Inference — GPU-Accelerated DL

NVIDIA; California (MO); On-site; USD 272,000 - 431,250; Full time

Job summary

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing AI model deployment on NVIDIA GPUs. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — with OSS projects such as SGLang, vLLM, and FlashInfer.

You will mentor engineers, define strategy and roadmaps, and collaborate with internal compiler, libraries, and research teams to deliver end-to-end

Qualifications

• MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.
• 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.
• Strong background in C/C++ software design and development; proficiency in Python is a plus.
• Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.
• Proven record of deploying or optimizing deep learning models in production environments.
• Experience leading teams using Agile or collaborative software development practices.

Responsibilities

• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.
• Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.
• Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.
• Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.
• Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).
• Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.
• Foster a culture of technical excellence, open collaboration, and continuous innovation.

Skills

Leadership / mentorship

Agile development

Team collaboration

Communication

Education

MS/PhD or equivalent in CS/EE

Tools

C/C++

Python

CUDA

Triton

CUTLASS

Job description

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing AI model deployment on NVIDIA GPUs. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — with OSS projects such as SGLang, vLLM, and FlashInfer.

You will mentor engineers, define strategy and roadmaps, and collaborate with internal compiler, libraries, and research teams to deliver end-to-end