"gpu accelerated workloads" Jobs
77 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, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 77 results
Join Baseten as a GPU Kernel Engineer to optimize high-performance GPU kernels for cutting-edge AI applications.
Join Anthropic as a Performance Engineer to optimize the inference engine for AI systems at scale.
Lead the capacity management for Baseten's TPU fleet, ensuring optimal performance and reliability in AI workloads.
Join CoreWeave as an Applied AI Engineer to enhance the performance of our inference platform through benchmarking and optimization.
Join CoreWeave as a Senior Specialist Field Engineer to lead GPU cluster delivery and ensure high-performance AI workloads for customers.
Join Inferact as a cluster administration engineer to manage high-performance GPU compute infrastructure for AI inference.
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 Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Lead a globally distributed team to enhance CoreWeave's infrastructure support for AI and HPC workloads in a high-growth environment.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.