[Remote] Engineering Manager, Deep Learning Inference

March 7, 2026

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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 the software powering sophisticated AI systems and overseeing performance tuning and optimization of large-scale models for various AI applications. 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 SGLang • 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+ 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 • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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