"gpu accelerated workloads" Jobs
200 open tech roles matching “gpu accelerated workloads”, taken straight from company career pages — not reposted from other job boards. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 200 results
Lead complex, cross-functional programs in cluster orchestration and applied training within CoreWeave's AI/ML Platform Services.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.
Join Mithril as a Software Engineer to build and maintain backend systems for a cloud-native AI infrastructure platform.
Lead a team of engineers to build and operate CoreWeave's next-generation Kubernetes-native inference platform.
Own the compute and cloud foundation for frontier AI research at a tech-first startup.
Lead the design and delivery of learning programs for CoreWeave's Data Center Operations or Product & Engineering organization.
Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.
Join CoreWeave as a Senior Specialist Field Engineer to lead security initiatives for federal clients in AI workloads.
Join Clockwork Systems as a Senior Software Engineer to build high-performance network observability platforms for advanced distributed computing.
Lead and scale a team of AI Native Account Executives selling to GenAI-native startups in a fast-growing environment.
Lead a team of Solutions Architects to manage complex customer deployments across multiple cloud environments.
Join Mithril as a Software Engineer to build and maintain backend systems for a cutting-edge AI infrastructure platform.
Serve as a technical partner for federal customers, designing AI workloads that meet mission requirements and compliance standards.
Lead the design and delivery of learning programs for CoreWeave's Data Center Operations or Product & Engineering organization.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.