"gpu accelerated workloads" Jobs
88 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.
Showing 20 of 88 results
Join CoreWeave as a Senior Engineer to optimize GPU kernels for high-performance AI applications in a rapidly growing environment.
Design and build secure, high-performance environments for Kubernetes workloads as a Senior Software Engineer II at CoreWeave.
Join CoreWeave as a Senior Engineer to build performance insights and observability systems for AI infrastructure.
Join CoreWeave as a Senior Specialist Field Engineer to lead GPU cluster delivery and ensure high-performance AI workloads for customers.
Lead validation strategy and execution for advanced AI compute silicon and systems at Graphcore.
Join CoreWeave as a Senior Software Engineer to build software for managing large-scale GPU data center infrastructure.
Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.
Lead complex cross-functional programs in performance and benchmarking for CoreWeave's AI/ML Platform Services.
Join Graphcore as a Senior Software Engineer to optimize AI hardware and software performance in a collaborative environment.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Join CoreWeave as a Senior Engineer to enhance Kubernetes-native benchmarking services and improve performance across a global infrastructure.
Lead a globally distributed team to enhance CoreWeave's infrastructure support for AI and HPC workloads in a high-growth environment.
Join CoreWeave as a Senior Software Engineer II to build cutting-edge research infrastructure for AI labs.