"cuda" Jobs
143 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 143 results
Join Baseten as a GPU Kernel Engineer to optimize high-performance GPU kernels for cutting-edge AI applications.
Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.
Join Hippocratic AI as a senior LLM Inference Systems Engineer to build high-performance networking for large language models.
Join CoreWeave as a Senior Engineer to optimize GPU kernels for high-performance AI applications in a rapidly growing environment.
Own the GPU cluster infrastructure at Perplexity AI, building a self-serve platform for training and inference workloads.
Join Etched as a Performance Modeling Engineer to develop performance models for cutting-edge AI hardware in a fully in-person team.
Take ownership of GPU cluster infrastructure to build a self-serve platform for AI training and inference workloads.
Join Together AI as a Systems Research Engineer Intern to optimize GPU-accelerated algorithms for ML/AI applications.
Join Together AI as a Systems Research Engineer Intern to optimize GPU programming for ML/AI applications in a collaborative environment.
Join Fireworks AI as a Software Engineer focused on Performance Optimization to enhance AI infrastructure efficiency and speed.
Join Sarvam AI as a Senior Performance Engineer to optimize GPU kernels for high-performance ML systems.
Join Perplexity AI as a Technical Staff member to enhance our AI inference engine with cutting-edge technologies.
Join Perplexity AI as an AI Inference Engineer to optimize and develop our inference engine for various model architectures.
Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.
Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working directly with hardware vendors.
Characterize and improve GPU performance for AI inference at Gimlet Labs, working with a heterogeneous accelerator fleet.
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