CUDA Jobs in San Francisco

Own the GPU cluster infrastructure at Perplexity AI, building a self-serve platform for training and inference workloads.

Characterize and improve GPU performance for AI inference at Gimlet Labs, working with a heterogeneous accelerator fleet.

Join Specter as a perception AI engineer to turn sensor data into actionable insights for customers.

Lead a senior engineering team at Inferact to scale AI inference systems while maintaining technical quality and execution speed.

Join Hedra as an Inference Optimization Engineer to enhance visual models' efficiency and performance in a collaborative research environment.

Build and optimize low-level execution primitives for AI inference across various hardware architectures at Gimlet Labs.

Build reliable production infrastructure for Gimlet's AI cloud as an Infrastructure Platform Engineer.

Join Inferact as a Forward Deployed Engineer to optimize AI inference systems in customer environments.

Join Tavus as a Research Engineer to optimize cutting-edge multimodal AI models for production readiness.

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 Together AI as a Research Intern to work on cutting-edge distributed inference and optimization for large foundation models.

Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.

Join Xaira Therapeutics as a Robotics Engineer to build and integrate advanced lab automation systems in a cutting-edge biotech startup.

Join Perplexity AI as a Technical Staff member to enhance our AI inference engine with cutting-edge technologies.

Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.

Join Chai Discovery as an AI Research Engineer to advance AI drug design with a team of experts.

Join Cartesia as an Inference Engineer to design and build low latency, scalable model inference for cutting-edge AI applications.

Join Baseten as a GPU Kernel Engineer to optimize high-performance GPU kernels for cutting-edge AI applications.

Join Inferact as a performance engineer to optimize vLLM, the fastest AI inference engine, working with cutting-edge hardware.