"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 the Execution Sandbox team at Databricks to architect and launch a new service for non-Spark compute workloads.
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.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Lead the global teams operating Graphcore's engineering labs and data center infrastructure while ensuring reliability and efficiency.
Drive adoption of Fireworks AI within ambitious GenAI startups, engaging with technical teams to create value.
Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join Mind Robotics as a Research Engineer to build scalable systems for training large ML models in a hands-on robotics environment.
Join CoreWeave as a Specialist Field Engineer to lead innovation in AI workloads and Kubernetes solutions.