"gpu compute" Jobs
619 open tech roles matching “gpu compute”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, Go. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 619 results
Join CoreWeave as an Applied AI Engineer to enhance the performance of our inference platform through benchmarking and optimization.
Join CoreWeave as an Account Executive to drive net-new logo acquisition in a greenfield Enterprise territory focused on AI infrastructure.
Join Fireworks AI as a Member of Technical Staff to design and build systems infrastructure for AI workloads at scale.
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 Clockwork Systems as a Senior Software Engineer to design high-performance network acceleration software.
Lead a high-performing engineering team at Databricks to enhance the AI Runtime product for GPU training infrastructure.
Build and scale distributed training systems for frontier model pre-training at Reflection AI.
Join ElevenLabs as an HPC Infrastructure Engineer to optimize GPU clusters for AI research in a fully remote environment.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.
Join Periodic Labs as a Computational Scientist to develop advanced simulation capabilities for semiconductor systems and materials.
Own the technical success of GPU/CPU cluster deployments, ensuring high-performance compute environments for SpaceX's customers.
Drive new business opportunities in AI infrastructure as a Principal Solution Specialist at CoreWeave.
Join Genmo as a Research Engineer to advance visual generative AI in a fast-paced startup environment.
Lead the verification strategy for Graphcore's AI accelerators, driving high-quality silicon delivery in a global team.