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Manager, Software Engineering
NVIDIA · Santa Clara, CA · Posted 2 days ago
Lead an engineering team that owns the Kubernetes-based platform NVIDIA's own researchers use to train frontier models across some of the largest GPU clusters in the world.
NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Research Superclusters (MARS), builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you'll help build solutions that power some of the most sophisticated computing workloads globally.
We build and run the platform that NVIDIA's own researchers use to train frontier models. That means some of the largest GPU clusters in the world, spread across multiple clouds and partners, used for pre-training, post-training and reinforcement learning. Our engineers own how work gets scheduled onto that fleet, how data and checkpoints move through it, and the Kubernetes-based platform underneath. We are looking for an engineering manager to lead one of these engineering teams. You will grow a team of strong engineers, own a platform area end to end, and work directly with research teams whose results depend on it. You will shape what the platform becomes, not only keep it running.
What you'll be doing:
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This posting is sourced from NVIDIA's own career site — applying takes you there directly.
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