"gpu accelerated workloads" Jobs
193 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 193 results
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 power and performance of advanced AI compute silicon and systems.
Lead validation strategy and execution for advanced AI compute silicon and systems at Graphcore.
Lead validation strategy and execution for power and performance of advanced AI compute silicon and systems.
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.
Own financial analysis for GPU infrastructure and R&D at a leading AI company.
Design and implement low-level systems software for GPU clusters in a pioneering AI infrastructure company.
Join Inferact as a cluster administration engineer to manage high-performance GPU compute infrastructure for AI inference.
Join CoreWeave as a Staff Software Engineer to lead the development of a Kubernetes-native inference platform for AI workloads.
Lead validation strategy and execution for advanced AI compute silicon and systems at Graphcore.
Lead complex cross-functional programs in performance and benchmarking for CoreWeave's AI/ML Platform Services.
Join Databricks as a Staff Software Engineer to drive the architecture of a managed GPU training platform for large-scale AI models.
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.