Senior System Software Engineer, NCCL - Partner Enablement

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication runtimes like NCCL and NVSHMEM for Deep Learning and HPC applications. We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. This is an outstanding opportunity to gain an end-to-end understanding of the AI networking stack. What you will be doing: Engage with our partners and customers to root cause functional and performance issues reported with NCCL Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters Document and conduct trainings/webinars for NCCL Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support What we need to see: B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design Experience working with engineering or academic research community supporting HPC or AI Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control Expert in Linux fundamentals and a scripting language, preferably Python Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible) Adaptability and passion to learn new areas and tools Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: Experience conducting performance benchmarking and developing infrastructure on HPC clusters; prior system administration experience, especially for large clusters. Experience debugging network configuration issues in large-scale deployments. Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such as PyTorch, TensorFlow. Deep understanding of technology and a passion for what you do. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 1, 2026. Applications for this job will be accepted at least until June 1, 2026. We can remove this duplicate line if desired. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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. #J-18808-Ljbffr NVIDIA Gruppe