"ai workloads" Jobs
2285 open tech roles matching “ai workloads”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2285 results
Join Baseten as a Software Engineer to enhance developer tools for deploying AI workloads in production.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Join Fireworks AI as an Applied Machine Learning Engineer to bridge AI research and real-world applications in a fast-growing team.
Join Baseten as a Software Engineer to architect and develop scalable infrastructure for ML training platforms.
Shape the architecture and drive the technical direction of Perplexity's data ecosystem as a senior member of the Data Platform team.
Design and operate large-scale GPU infrastructure for model inference and mid-training workloads at Reflection AI.
Join CoreWeave as a Specialist Field Engineer to lead innovation in AI workloads and Kubernetes solutions.
Join Onebrief as an Infrastructure Engineer to design and deploy secure production systems for military planning software.
Join Harvey AI as a Staff Software Engineer to build and operate core infrastructure for AI workloads in a fast-growing company.
Design and improve the storage platform for Perplexity's products and AI workloads, ensuring reliability and performance.
Shape the architecture and drive the technical direction of Perplexity's data ecosystem as a senior member of the Data Platform team.
Join CoreWeave as a Senior Software Engineer to design and maintain a high-scale IAM platform for AI workloads.
Join Together AI as a Staff Software Engineer to build systems that automate infrastructure management for AI clusters.
Investigate novel AI computing architecture as a Senior Systems Engineer at Graphcore, focusing on performance and scalability.