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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager - GPU Communications Libraries - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Networks, Software Debugging, Linux, Ethernet, Network Topologies, InfiniBand, Network Architecture, OpenMP, Remote Direct Memory Access, Tensorflow, Software Engineering, Systems Architecture, System Software, Computer Network Technologies, Pytorch, Deep Learning, Parallel Computation - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Engineering-Manager---GPU-Communications-Libraries_JR1980109 ## About the Role * 10+ overall years of experience in the software industry with specialization in HPC networking or system software. * 4+ years of management experience. * BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience. * Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle. * Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations. * Excellent C/C++ programming and debugging skills in Linux. * Experience balancing multiple projects with competing priorities. * Flexibility to work and communicate effectively across different teams and timezones. Ways to stand out from the crowd: * Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads. * Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies. Knowledge of HPC and ML/DL fundamentals. * Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. ## Description * Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. * This is a technical leadership role so you will participate in feature design and implementation. * Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. * Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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