"gpu infrastructure" Jobs
263 open tech roles matching “gpu infrastructure”, 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 263 results
Own and improve the qualification process for new compute capacity at Together AI, ensuring technical standards are met.
Join Mithril as a Software Engineer to build and maintain backend systems for a cutting-edge AI infrastructure platform.
Join Mithril as a Software Engineer to build and maintain backend systems for a cloud-native AI infrastructure platform.
Join Harvey AI as a Staff Software Engineer to build and operate core infrastructure for AI workloads in a fast-growing company.
Join Harvey AI as a Senior Software Engineer to build and operate core infrastructure for leading law firms and enterprises.
Lead complex infrastructure projects to support AI research at Anthropic with a focus on reliability and scalability.
Build production AI agent systems for one of the world's largest GPU fleets at Together AI.
Lead a high-performing team to build and operate Harvey's core compute and networking infrastructure for AI-driven legal services.
Lead complex infrastructure projects as a Staff+ Software Engineer at Anthropic, focusing on distributed systems and AI model support.
Join Perplexity as a Strategic Finance Lead to optimize GPU compute investments and drive capacity decisions in a fast-paced environment.
Join Perplexity AI as a Strategic Finance Lead to optimize GPU compute investments and drive capacity decisions.
Join Together AI as a Product Manager to drive product work across AI infrastructure with a focus on observability and GPU clusters.
Join fal as a Staff Security Engineer to secure cutting-edge AI infrastructure and design systems from first principles.
Lead community engagement for Together AI, advocating for developers and managing social media channels.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.