Hiring: Engineering Manager, Deep Learning Inference Company: NVIDIA Location: Massachusetts, United States Job Posted Time: 2026-09-02 17:59:08 Employment Type: Full-time Target Skills & Keywords: Deep Learning Inference, GPU Programming, CUDA, Triton, CUTLASS, vLLM, SGLang, FlashInfer, LLM, Multimodal AI, Generative AI, Multi-GPU Communications, NIXL, NCCL, NVSHMEM, Performance Optimization, C/C++, Python, Agile, PyTorch, TensorRT-LLM Experience: - 6+ overall years of software development experience - 3+ years in technical leadership or engineering management - Proven record of deploying or optimizing deep learning models in production environments - Experience leading teams using Agile or collaborative software development practices Required Skills: - 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 - Deep learning inference and GPU-accelerated software expertise - Performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications - Multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures Qualifications: - MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field - Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM preferred - Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms preferred - 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 a plus Compensation: - Base salary range: 184,000 USD - 287,500 USD for Level 2 - Base salary range: 224,000 USD - 356,500 USD for Level 3 - Comprehensive benefits package - Base salary determined based on location, experience, and pay of employees in similar positions Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!