"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 Ineffable Intelligence as a Platform Engineer to shape the infrastructure for groundbreaking AI research in London.
Join Tavus as a Senior Software Engineer to enhance the infrastructure behind real-time AI conversations.
Join Applied Intuition as an Embedded AI Engineer to develop on-device intelligence for Android Automotive platforms.
Lead the engineering organization at Inferact to develop systems for vLLM, focusing on GPU performance and ML systems optimization.
Join Together AI as a Product Manager to drive product work across AI infrastructure with a focus on observability and GPU clusters.
Build data infrastructure at fal to enhance cost, margin, and performance analytics in a fast-paced generative media ecosystem.
Lead a team of program managers to oversee technical programs and ensure successful delivery of AI infrastructure projects.
Lead cross-functional programs to enhance CoreWeave's cloud infrastructure for AI, ensuring scalable and reliable performance.
Provide technical leadership for robotic automation systems in data center operations at Graphcore.
Join Reflection AI as a Research Software Engineer to bridge research and production in cutting-edge AI training systems.
Join Ambiq as a Senior Embedded Graphics Software Engineer to develop and test graphics software for low-power semiconductor solutions.
Join Volta as a Network Modeling/Automation Engineer to build and operate large-scale GPU compute infrastructure for AI workloads.
Join Together AI as a Manager of Infrastructure Strategy & Operations to drive analytical decisions in scaling compute infrastructure.
Join Baseten as a Software Engineer to build and optimize large-scale LLM inference systems in a collaborative environment.
Join NODA AI as a UI Engineer to design advanced interfaces for autonomous vehicle orchestration in a hybrid work environment.