"gpu accelerated compute" Jobs
108 open tech roles matching “gpu accelerated compute”, 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 108 results
Lead a globally distributed team to enhance CoreWeave's infrastructure support for AI and HPC workloads in a high-growth environment.
Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Join Inferact as a staff engineer to build distributed systems for AI inference at global scale.
Join Anthropic as a Hardware Systems Architect to lead the design and architecture of cutting-edge AI hardware systems.
Lead strategic partnerships in the Physical AI space, driving co-innovation and market expansion with key industry players.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Own the strategy and execution for CoreWeave's data services portfolio, shaping the future of data in AI cloud environments.
Lead a high-performing engineering team at Databricks to enhance the AI Runtime product for GPU training infrastructure.
Own the inference systems that power frontier AI models in production and research at a tech-first startup.
Join CoreWeave as Counsel, Global Supply Chain, providing strategic legal support for procurement and logistics in a fast-paced environment.
Lead complex cross-functional programs in performance and benchmarking for CoreWeave's AI/ML Platform Services.
Drive the adoption of CoreWeave's data services by identifying market opportunities and shaping product strategy for enterprise customers.
Lead and scale CoreWeave's Platform Security engineering function, focusing on security in Kubernetes and multi-cloud environments.
Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.