04 ago - Italia
Altro
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a Senior HPC and AI Network Software Architect to help build the next generation of scalable AI infrastructure. The role emphasizes distributed training, real-time inference, and communication efficiency across large systems. You will develop new software and hardware approaches, shape platform evolution through hands‐on innovation,
and contribute to designing systems powering the fastest AI workloads globally. Collaborate with our distinguished team of researchers and engineers building software and hardware for AI at an outstanding scale.
What You Will Be Doing
Build and evolve the architecture of scalable software systems for distributed AI training and inference, focusing on throughput, latency, resiliency, and memory efficiency across cluster‐scale deployments.
Develop and evaluate next‐generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC, tailored to the evolving demands of frontier AI workloads.
Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) and internal platform teams to build integrations, explore new approaches, and improve end‐to‐end performance and reliability.
Collaborate on hardware and system‐level features across GPUs, DPUs, and interconnects to speed up data movement and enable new capabilities
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