NVIDIA
Software Engineering Manager - GPU Communications Libraries
NVIDIA, Santa Clara, California, us, 95053
Software Engineering Manager - GPU Communications Libraries
We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, and UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high‑speed interconnects (e.g., NVLink, PCIe) within a node and with high‑speed networking (e.g., Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end‑to‑end application performance; and the stakes are even higher at huge scales! What You Will Be Doing
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. What We Need To See
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 as PyTorch, TensorFlow, etc. Salary
Base salary range is $184,000 USD - $287,500 USD for Level 2, and $224,000 USD - $356,500 USD for Level 3. You will also be eligible for equity and benefits. Application Deadline
Applications for this job will be accepted at least until November 23, 2025. EEO Statement
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Engineering and Information Technology Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, and UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high‑speed interconnects (e.g., NVLink, PCIe) within a node and with high‑speed networking (e.g., Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end‑to‑end application performance; and the stakes are even higher at huge scales! What You Will Be Doing
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. What We Need To See
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 as PyTorch, TensorFlow, etc. Salary
Base salary range is $184,000 USD - $287,500 USD for Level 2, and $224,000 USD - $356,500 USD for Level 3. You will also be eligible for equity and benefits. Application Deadline
Applications for this job will be accepted at least until November 23, 2025. EEO Statement
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Engineering and Information Technology Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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