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Serve as the named technical partner for existing customers across CoreWeave's AI platform. Drive adoption and expansion by helping teams train, fine-tune, deploy, and scale LLMs and other deep learning workloads on GPU infrastructure. Own technical relationships, surface product feedback, remove blockers, and collaborate with sales, specialists, and engineering to ensure customers achieve production success.

Senior Software Engineer focused on AI infrastructure performance insights and observability. Responsible for designing and building monitoring, instrumentation, metrics, and tooling to measure and optimize compute and platform performance while collaborating with infrastructure and ML teams.

As an HPC Performance Engineer, you will design and optimize systems, maintain kernel and OS images, develop performance testing tools, and collaborate on performance benchmarks and issues.

The Operations Engineer in Fleet Reliability ensures uptime of server nodes by managing provisioning, troubleshooting hardware/software issues, and improving system performance.

Manage technical relationships with strategic customers, oversee complex programs, and drive customer experience in cloud and AI workloads.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

Lead design reviews and architecture in a Kubernetes-native inference platform, improve latency and reliability, mentor engineers, and implement optimizations.

As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.