"gpu computing" Jobs
619 open tech roles matching “gpu computing”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, Go. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 619 results
Join Mind Robotics as a DevOps Engineer to build and operate infrastructure for advanced robotic systems in a hands-on AI environment.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Join Fireworks AI as a Member of Technical Staff to advance generative AI and multimodal systems through foundational research.
Lead the architectural vision for cutting-edge AI infrastructure at a rapidly growing company focused on edge computing.
Lead the project engineering function at Volta, overseeing large scale GPU compute infrastructure deployments for frontier AI customers.
Join Inferact as a Developer Relations Engineer to shape how developers learn and build with vLLM, the AI inference engine.
Lead the development and integration of camera subsystems for autonomous drones at Skydio.
Join Cowboy Space Corporation as a Senior Accounting Specialist to manage high-volume accounts payable operations in a fast-growing startup.
Lead data center operations at fal, overseeing strategy, capacity, and build-out for a high-performance GPU fleet.
Join Cowboy Space Corporation as an Ordnance Engineer to lead the development of energetic devices for innovative space-based solar energy solutions.
Join CoreWeave as a Senior Software Engineer II to build and operate a Kubernetes-native platform for AI workload orchestration.
Join Applied Intuition as a Software Engineer to develop autonomous software for embedded systems in a fast-growing team.
Join Roboflow as a Machine Learning Engineer to enhance our inference engine and contribute to impactful computer vision projects.
Lead model training and post-training strategies for emotionally intelligent AI at Inflection AI.
Join Descript as a Senior Software Engineer to own and enhance our infrastructure platform, impacting AI model training and deployment.