[Remote] Engineering Manager, Deep Learning Inference

Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. The role involves shaping software for sophisticated AI systems and optimizing frameworks for scalable deployment on NVIDIA GPUs. Responsibilities • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software • Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on Client AI • 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 • 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 • Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM • Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures • Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms • Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact • Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering Benefits • Equity • Comprehensive benefits package • Eligible for equity and benefits Company Overview • NVIDIA designs graphics processing units and accelerated computing hardware for AI and high-performance computing applications. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com. Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 2427 in 2026, 1865 in 2025, 1352 in 2024, 975 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.