"cuda q" Jobs
118 open tech roles matching “cuda q”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, CUDA, PyTorch. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 118 results
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Join CoreWeave as a Staff Software Engineer to lead the development of a Kubernetes-native inference platform for AI workloads.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Join Fireworks AI as a Member of Technical Staff to design and build systems infrastructure for AI workloads at scale.
Join Applied Intuition as an ML Runtime Optimization Engineer to optimize ML models for embedded environments in a collaborative team.
Join Together AI as a Staff Software Engineer to build systems that automate infrastructure management for AI clusters.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Join Fireworks AI as a Software Engineer focused on Performance Optimization to enhance AI infrastructure efficiency and speed.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve state-of-the-art voice models in a fully remote role.
Join Together AI as a Staff Software Engineer to build systems that automate infrastructure management for AI clusters.
Join Perplexity AI as an AI Infrastructure Engineer to design and optimize large-scale AI training and inference clusters.
Join SpaceX as a Sr. HPC Systems Engineer to manage HPC clusters and support engineering teams in a fast-paced environment.
Join SpaceX as a Sr. HPC Systems Engineer to manage HPC clusters and support engineering teams in a fast-paced environment.
Join Applied Intuition as an AI Performance Engineer to optimize large-scale machine learning workloads in a collaborative environment.
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