"gpu accelerated workloads" Jobs
50 open tech roles matching “gpu accelerated workloads”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Kubernetes, Python, Go. Every listing is re-checked daily and closed roles are removed.
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Drive the adoption of AI runtime services at CoreWeave, leveraging your expertise in distributed systems and AI infrastructure.
Lead and scale CoreWeave's Platform Security engineering function, focusing on security in Kubernetes and multi-cloud environments.
Lead strategic partnerships in the Physical AI space, driving co-innovation and market expansion with key industry players.
Drive the adoption of CoreWeave's data services by identifying market opportunities and shaping product strategy for enterprise customers.
Lead the technical strategy for Developer Experience at CoreWeave, enhancing software delivery and engineering productivity.
Own the medium-range demand forecast for infrastructure resources at Anthropic, supporting sourcing and workload optimization.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Lead complex, cross-functional programs in cluster orchestration and applied training within CoreWeave's AI/ML Platform Services.
Lead a team of Solutions Architects to manage complex customer deployments across multiple cloud environments.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.
Join Databricks as a Senior Software Engineer to build infrastructure for AI applications and improve distributed AI workloads.