"cloud hardware" Jobs
249 open tech roles matching “cloud hardware”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 249 results
Build reliable production infrastructure for Gimlet's AI cloud as an Infrastructure Platform Engineer.
Join Together AI as a Staff Software Engineer to architect and build the next generation AI cloud platform.
Lead the delivery of on-premises data center builds and GPU cloud programs at a rapidly growing AI infrastructure company.
Join Anthropic's Cloud Inference team to design and optimize backend services for AI systems across multiple cloud platforms.
Own the GPU cluster infrastructure at Perplexity AI, building a self-serve platform for training and inference workloads.
Join Anthropic as a Staff + Sr. Software Engineer to optimize and scale AI inference across major cloud platforms.
Join fal as a Senior Counsel to lead legal negotiations for AI infrastructure and hardware agreements.
Lead relationships and market intelligence across hyperscalers and strategic neoclouds in a senior role at Baseten.
Join Baseten as a Software Engineer to build and optimize microVMs for AI agents in a fast-paced, collaborative environment.
Secure the foundation of fal.ai’s compute platform as a Senior Infrastructure Security Engineer.
Lead the global GPU fleet management at Baseten, ensuring optimal capacity and uptime for AI workloads.
Join Atoms as a Staff HPC Network Engineer to design and optimize high-performance networks for GPU compute environments.
Join Together AI as a Staff Software Engineer to build systems that automate GPU infrastructure management.
Join Atoms as a Staff Cluster Infrastructure Engineer to optimize and manage GPU compute clusters for real-world AI applications.
Own strategic partnerships with silicon providers to enhance Gimlet Labs' AI cloud infrastructure.
Join CoreWeave as a Technical Support Engineer to support and maintain GPU infrastructure for AI workloads across multiple data centers.
Build and optimize network infrastructure for Gimlet's AI-focused compute and storage systems in a growing tech environment.