"gpu accelerated compute" Jobs
135 open tech roles matching “gpu accelerated compute”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Kubernetes, Python, C++. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 135 results
Join Clockwork Systems as a Senior Frontend Engineer to create powerful data visualizations in a fast-paced, inclusive environment.
Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.
Join CoreWeave as Counsel, Global Supply Chain, providing strategic legal support for procurement and logistics in a fast-paced environment.
Join IonQ as a Senior HPC Cluster Engineer to design and maintain high-performance computing systems for quantum simulations.
Lead complex cross-functional programs in performance and benchmarking for CoreWeave's AI/ML Platform Services.
Drive the adoption of CoreWeave's data services by identifying market opportunities and shaping product strategy for enterprise customers.
Join CoreWeave as a Senior Engineer to enhance Kubernetes-native benchmarking services and improve performance across a global infrastructure.
Join CoreWeave as a Senior Applied ML Engineer to tackle challenges in continuous learning for AI agents with a focus on innovative solutions.
Drive the adoption of AI runtime services at CoreWeave, leveraging your expertise in distributed systems and AI infrastructure.
Join Applied Intuition as a Software Engineer to optimize application-layer software for embedded systems in autonomous driving.
Serve as a technical partner for federal customers, designing AI workloads that meet mission requirements and compliance standards.
Join CoreWeave as a Specialist Field Engineer to lead innovation in AI workloads and Kubernetes solutions.
Develop real-time DSP algorithms for space-based communications at Cowboy Space Corporation, a pioneering energy startup.
Join CoreWeave as a Senior Software Engineer II to build and operate a Kubernetes-native platform for AI workload orchestration.