"cuda" Jobs
58 open tech roles matching “cuda”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: CUDA, Python, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 58 results
Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.
Join CoreWeave as a Senior Engineer to optimize GPU kernels for high-performance AI applications in a rapidly growing environment.
Join Sarvam AI as a Senior Performance Engineer to optimize GPU kernels for high-performance ML systems.
Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.
Develop real-time DSP algorithms for space-based communications at Cowboy Space Corporation, a pioneering energy startup.
Own Sarvam's production serving path for large distributed models, integrating and optimizing performance across a multi-node stack.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Join CoreWeave as a Senior Engineer to build performance insights and observability systems for AI infrastructure.
Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Own the serving infrastructure for healthcare AI, optimizing LLM inference systems to enhance patient experiences.
Join Tavus as a Senior Software Engineer to enhance the infrastructure behind real-time AI conversations.
Design and optimize AI infrastructure for real-time intelligence at Ambient.ai, enhancing security through advanced AI models.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Join SpaceX as a Sr. HPC Systems Engineer to manage HPC clusters and support engineering teams in a fast-paced environment.
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