Distinguished Software Architect - Deep Learning and HPC Communications

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. GPU Communications Libraries and Networking team Distinguished Software Architect We are looking for a Distinguished Software Architect to help co‑design our next generation data center platforms. 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 nodes. Communication performance between the GPUs directly impacts end‑to‑end application performance; the stakes are even higher at huge scales. This is an outstanding opportunity to push the limits of state‑of‑the‑art technologies and deliver platforms the world has never seen before. What you will be doing Research new communication technologies (e.g., expand the GPUDirect technology portfolio) and design new features for our communication libraries. Propose innovative solutions in hardware and software for our next‑gen platforms. You will co‑design these solutions with the GPU, Networking, and SW architects and ensure seamless integration with the software stacks. Inspire changes based on quantitative data from proof‑of‑concepts or detailed technical analysis/modeling. Drive the adoption of new communication technologies across application verticals. Keep up with the latest DL research and collaborate with diverse teams (internal and external), including DL researchers and customers. What we need to see PHD in Computer Science, Computer Engineering or related field or strong equivalent experience; 15+ years of relevant experience in academia or industry. Expertise in HPC, parallel programming models (MPI, SHMEM), at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC), computer and system architecture, GPU architecture and CUDA. Deep understanding of high‑performance networking aspects: network technologies (Infiniband, Ethernet), network design, topologies, debugging and performance analysis. Strong knowledge in at least a few of these areas: ML/DL fundamentals and their relation to communications, parallel algorithms, fault tolerance and resiliency, competitive assessments, performance analysis and optimizations for large clusters, developing applications using DL frameworks (PyTorch, TensorFlow). Programming fluency with C or C++ for systems software development. Flexibility to work and communicate effectively across different HW/SW teams and time zones. Ways to stand out from the crowd Industry‑recognized leader in HPC/DL communications with a history of patents, publications, conference talks and keynotes relevant to the role. Influential role in industry standards (e.g., MPI, OpenSHMEM) and open‑source software (e.g., PyTorch, UCX, Open MPI). Compensation and Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD – 488,750 USD. You will also be eligible for equity and benefits. Application Deadline Applications for this job will be accepted until May 26, 2026. Equal Opportunity Statement NVIDIA is committed to fostering a diverse work environment and is a proud 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. #J-18808-Ljbffr