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Recently posted jobs
Cloud • Information Technology • Machine Learning
Serve as the named technical partner for net-new and existing customers, driving adoption and expansion across CoreWeave's AI platform. Work hands-on with customers to train, fine-tune, evaluate, deploy, and scale LLMs and AI workloads, remove technical blockers, deliver demos/POCs, and liaise with Sales, Product, and Engineering to ensure production success and surface product feedback.
Cloud • Information Technology • Machine Learning
Provide strategic legal support for global sourcing, procurement, and deployment of datacenter and infrastructure hardware. Draft and negotiate complex supplier agreements, advise on risk allocation, compliance, export controls, and international logistics. Build templates, playbooks, and enablement for scalable contracting; manage outside counsel and coordinate cross-functional stakeholders for global expansion.
Cloud • Information Technology • Machine Learning
The VP of Product will lead CoreWeave's Research Training Stack, focusing on enhancing AI infrastructure, ensuring quality for pre-trained models, and connecting researchers with advanced cloud capabilities.
Cloud • Information Technology • Machine Learning
As a Principal Engineer at CoreWeave, you will design cluster orchestration systems, lead technical direction, ensure system reliability, and mentor engineers while focusing on large-scale GPU cluster performance for AI workloads.
Cloud • Information Technology • Machine Learning
As a Senior Software Engineer in Cluster Orchestration, you'll lead multiple services, drive improvements in performance and reliability, and mentor junior engineers.
Cloud • Information Technology • Machine Learning
Lead operational readiness reviews for large-scale data center projects, identify design/construction/commissioning gaps, drive corrective actions, validate turnover readiness, coordinate across design, construction, commissioning, and operations to ensure mission-critical infrastructure meets standards and is handed off reliably.
Cloud • Information Technology • Machine Learning
Manage full lifecycle delivery of multiple large-scale data center deployments: plan, coordinate vendors/contractors, oversee hardware/cabling/network installs, enforce quality/compliance, track schedules/budgets, mitigate risks, document progress, and transition sites to operations. Frequent onsite travel (up to 60%).
Cloud • Information Technology • Machine Learning
Lead the development of a multi-year product strategy for CoreWeave, focusing on customer needs and market insights to align product areas and drive innovation in AI technology.
Cloud • Information Technology • Machine Learning
The Senior Software Engineer will enhance Kubernetes-native benchmarking services while improving performance and reliability, mentoring junior engineers throughout the process.
Cloud • Information Technology • Machine Learning
The Bare Metal Support Engineer provides support and maintenance for CoreWeave's GPU fleet, collaborating with customers and engineering teams, diagnosing issues, and improving hardware and software performance.
Cloud • Information Technology • Machine Learning
The Site Selection Manager identifies and evaluates data center opportunities, leads due diligence, supports lease negotiations, and manages cross-functional coordination for CoreWeave's expansion across the Americas.
Cloud • Information Technology • Machine Learning
As a Staff Engineer, you'll lead the orchestration platform strategy, mentor engineers, and ensure reliable workloads across GPU clusters, directly impacting AI innovation.
Cloud • Information Technology • Machine Learning
The Senior Software Engineer II, AI/ML leads designs, enhances architecture, optimizes multilayer systems, mentors engineers, and ensures service reliability at CoreWeave.
Cloud • Information Technology • Machine Learning
As a Staff Product Manager, you will own the strategy and roadmap for networking products, translating market insights into product requirements and working with cross-functional teams to launch new offerings.
Cloud • Information Technology • Machine Learning
Responsibilities include designing, developing, and maintaining automated tooling for Linux systems, collaborating with teams, and ensuring software delivery.
Cloud • Information Technology • Machine Learning
Design and deliver scalable, conversion-focused website experiences and design systems. Partner with developers, marketers, and stakeholders to support large-scale redesigns, migrations, high-fidelity prototypes, animations, and developer handoffs, leveraging AI-assisted workflows to improve efficiency and quality.
Cloud • Information Technology • Machine Learning
Build, maintain, and optimize scalable front-end systems and web experiences. Translate Figma designs into reusable components, support large-scale site migrations, improve performance, accessibility, and SEO, and work with cross-functional teams using modern workflows and AI-assisted tools.
Cloud • Information Technology • Machine Learning
Develop and run rigorous benchmarks and profiles for LLM inference workloads to identify bottlenecks and drive targeted performance optimizations across frameworks, runtimes, and GPU hardware. Design experiments (quantization, caching, speculative decoding), validate changes against real traces, partner with platform engineers to productionize improvements, and produce clear technical writeups to guide model-serving, runtime, and hardware decisions.
Cloud • Information Technology • Machine Learning
Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.
Cloud • Information Technology • Machine Learning
Debug and fix complex kernel and container runtime interactions for a large GPU fleet: investigate kernel crashes, cgroup and namespace edge cases, and scheduler/memory issues; develop and upstream kernel or container-runtime patches; build observability tooling and partner with hardware, platform, and fleet teams during incident response.
