Careers - Europe | CoreWeave

You'll serve as a technical expert for enterprise customers exploring AI-driven engineering solutions. You'll collaborate with sales and deployment teams to design technical approaches, lead proof-of-value initiatives, and validate AI feasibility using customer data, ensuring solutions are credible and deliver measurable value.

You will drive server nodes through provisioning and validation processes, troubleshooting hardware and software issues to maximize uptime of high-performance supercomputing clusters. This role involves configuring and maintaining large-scale GPU clusters, working shifts from 7 am to 9 pm, and participating in on-call rotations. Onboarding training at US headquarters is required within the first month.

You will design and scale the infrastructure supporting the GPU Intelligence Platform, building pipelines for data handling, feature processing, model training, and system optimization. Your work will transition prototypes to production environments, focusing on scalability and dynamic resource management to enhance system stability and performance.

Lead the architectural evolution of CoreWeave's AI cloud platform from monolithic to distributed, making it agentic-ready for next-gen AI applications. You'll write production Python code, mentor engineers, and drive technical vision in a hands-on leadership role.

You will transition existing client environments to Monolith AI's next-generation platform by rapidly understanding undocumented systems, building Python migration tooling, and collaborating with Customer Success and Product to ensure accurate migrations delivered at scale. This is a 3-month intensive project requiring hands-on work with PostgreSQL, Flask/FastAPI, and S3 object storage.

As a Solutions Architect at CoreWeave, you will serve as the primary technical point of contact for customers, focusing on AI/ML workloads within high-performance compute environments. You'll collaborate closely with customers to understand their needs, create and deploy tailored solutions, lead proof of concept initiatives, and drive technical leadership during meetings and workshops. You'll also act as a virtual member of the Kubernetes product and engineering teams, providing insights on product features and contributing to product strategy.

As a Fullstack Engineer on the Monolith AI Engineering Team, you will own and evolve our data-heavy web platform using React and TypeScript, partnering with Design and Product to deliver intuitive UIs for engineers. You'll also contribute to Python backend services (FastAPI/Flask) to integrate APIs and improve user experiences.

You will develop advanced statistical models and machine learning methodologies to optimize GPU utilization and infrastructure efficiency. You'll analyze large-scale system telemetry data and prototype predictive and optimization algorithms that directly inform production systems, turning complex infrastructure data into measurable improvements in performance and cost.

You will lead deployment teams at data center sites across the UK and Europe, overseeing hardware assembly, network diagnostics, and physical repair of server infrastructure. You'll guide best practices, maintain inventory, perform root cause analysis, and develop documentation. This role requires extensive travel (up to 50%) and shift work.

You will lead the delivery of AI solutions for strategic customer engagements, designing end-to-end technical delivery, coordinating cross-functional teams, and ensuring complex AI deployments are delivered reliably and on time to deliver measurable value.

You will design, develop, and maintain monitoring, telemetry, and observability systems for CoreWeave's GPU cloud network in London. You'll build solutions that provide real-time insights into network performance, enabling proactive issue detection and rapid resolution to ensure reliable operation at scale.

You will own and drive data observability and operations across the Monolith platform, building end-to-end DataOps practices that make data flows debuggable, auditable, and safe to evolve. You'll partner with product, engineering, and client teams to turn fragmented engineering data into well-governed, reliable pipelines powering advanced AI and simulation workflows.

You will provide high-level support for customers using bare-metal GPU fleets on CoreWeave Cloud, diagnosing and triaging issues, coordinating with data center technicians, and collaborating with engineering teams to improve reliability. You'll work across growing data centers in the US and Europe, supporting AI workloads at scale.

In this role, you will own technical customer relationships for AI workloads on CoreWeave's cloud platform. You'll define requirements, drive end-to-end program execution, and influence product strategy by sharing customer feedback with engineering teams.

You will own the test and automation strategy for our OVS-based datapath and related control-plane components, partnering with DPU, networking, and platform engineering teams to define requirements and build automation that protects our customers and cloud.

As a Solutions Architect at CoreWeave, you'll be the primary technical contact for customers, helping them secure Kubernetes workloads on our cloud infrastructure. You'll lead proof-of-concept initiatives, collaborate with security product teams to enhance offerings, and represent CoreWeave at industry events. This role focuses on ensuring customer success through technical guidance and workload optimization.

As a Production Engineer at CoreWeave, you will be responsible for maintaining the reliability and stability of our cloud infrastructure. You will monitor system performance, respond to incidents, collaborate with teams to improve platform resilience, and implement automation to reduce manual intervention. This role offers the opportunity to work with cutting-edge AI cloud technology and grow your expertise in incident management and system reliability.

You will own and evolve Monolith's data platform services and ETL offerings, building scalable batch and streaming pipelines that transform engineering data into production-ready AI training and inference pipelines. Partner with Product, Engineering, and Customer-facing teams to solve complex data challenges and drive data platform features.

As a Senior Cloud Support Engineer at CoreWeave, you will be on the front lines of a technological revolution, empowering customers to harness the full potential of our Kubernetes-powered HPC cloud infrastructure. You'll collaborate with engineers and researchers to resolve issues impacting mission-critical AI workloads, mentor team members, and contribute to best practices and knowledge resources.

As a Solutions Architect at CoreWeave, you'll serve as the primary technical contact for customers, helping them design, prototype, and deploy Kubernetes solutions on high-performance compute infrastructure. You'll lead proof-of-concept initiatives, drive technical discussions, and collaborate with engineering to enhance products.

You will work directly with engineering organizations to deploy AI solutions that transform how teams analyze test, simulation, and manufacturing data. You'll partner with customers to apply machine learning to complex physics problems, implement solutions using engineering datasets, and help drive adoption of AI-driven approaches across multiple customer projects.

You will lead a regional team of subject matter experts across Kubernetes, HPC, Security, Networking, and Storage to design and deliver next-generation environments for AI workloads. This role involves defining go-to-market strategy, acting as executive sponsor for strategic customers, and driving continuous improvement by incorporating field feedback into product enhancements.

You'll own the product vision for the **Apps layer** of CoreWeave's essential cloud platform for AI. Your work will directly impact how **enterprise customers leverage AI-based workflows** through interactive components. You'll also mentor other product managers across the organization.

You'll **maintain and repair** cutting-edge AI cloud infrastructure in a **hyper-growth data center environment**. You'll ensure **99.99% uptime** through rapid hardware diagnostics and on-site fixes.

You'll design, deploy, and maintain **SOAR capabilities** for a multi-billion dollar cloud platform. You'll develop automations that interact across **multiple products and services** to secure the enterprise. This role offers the chance to leverage **AI tooling** for enhanced security context.

You'll be **building and maintaining cutting-edge infrastructure** for CoreWeave's Glasgow data centre, ensuring **stability and reliability of physical assets**. You'll diagnose hardware and network faults, perform repairs, and contribute to root cause analysis to **improve data centre operations**.

You'll join CoreWeave's **Monolith team** building advanced ML solutions for **physical AI challenges**. You'll own end-to-end delivery of production ML systems that transform how complex industrial products are conceived and tested.

You'll design and build real-time network monitoring and telemetry systems for **CoreWeave's GPU cloud** platform at **massive scale**. Your work will ensure proactive anomaly detection and rapid issue resolution, empowering reliable AI infrastructure. This role offers the chance to shape observability strategy in a hyper-growth public company.

You'll maintain data centre operations to ensure service reliability through hardware diagnostics and root cause analysis. You'll assemble and install equipment, manage inventory, and develop scripts to update server and networking hardware. This role offers hands-on experience in a high-performance computing environment at a leading AI cloud provider.

You'll drive the architecture and performance of CoreWeave's **inference platform**, enabling low-latency AI workloads at scale. You'll optimize GPU utilization and cost-per-token while mentoring senior engineers. This role offers **technical leadership** across a cloud-native stack with **global impact** on AI infrastructure.

You'll **design and implement distributed storage solutions** for AI workloads at a leading cloud provider. Your work will directly impact **scalability and performance of exabyte-scale storage systems**. You'll collaborate across teams to deliver **reliable, high-performance storage infrastructure**.

You'll maintain and repair critical **server and networking hardware** at CoreWeave's **AI cloud data centers**. You'll ensure uptime and reliability through hands-on troubleshooting and root cause analysis in a fast-paced, hyper-growth environment.

You'll own and scale EMEA employment lifecycle operations at a hypergrowth AI cloud company. You'll design processes across multiple countries, leverage AI to improve efficiency, and build a team that delivers a seamless employee experience. **This role combines operational rigor with a product thinker's mindset** to drive continuous improvement.

You'll lead **data center operations** at our Glasgow facility, guiding a team of technicians to ensure **infrastructure reliability** and **operational excellence**. Your work will directly influence the performance and scalability of the site.

You'll lead the **SRE vision and strategy** for a large-scale **cloud AI platform**, driving reliability and automation. Your team will build **self-healing systems** and champion operational excellence across a globally distributed infrastructure.

You'll coordinate **high-volume interview logistics** for hiring across **Data Centre Operations** at CoreWeave, a leading AI cloud provider. You'll ensure a seamless candidate experience while supporting operational excellence in a fast-paced, high-growth environment. This contract role offers a chance to work with cutting-edge AI infrastructure and a top-tier talent team.

You'll **own and scale EMEA employment lifecycle operations** for a fast-growing AI cloud company. Your core impact is designing **scalable processes across multiple countries** while building a high-performing team. This role combines **operational rigor with a product thinker's instinct** to leverage modern tech like AI.

You'll own the full recruitment lifecycle for a portfolio of highly technical roles at a **leading AI cloud provider**. You'll partner with hiring managers to define requirements and deliver a best-in-class hiring experience from sourcing through offer close. This role offers the chance to shape the team in a **hyper-growth environment**.

You will lead the operational performance, expansion, and long-term strategy of CoreWeave's data center footprint across EMEA, overseeing day-to-day operations, reliability, vendor performance, and workforce management across multiple countries. This executive role partners with global teams to ensure world-class safety, reliability, cost efficiency, and service excellence.

You'll lead design reviews and drive architecture for CoreWeave's Kubernetes-native inference platform, **decomposing multi-service work** into clear milestones. Your core impact is delivering **measurable improvements to latency, throughput, and reliability** across services. This role stands out for shaping an **industry-defining inference platform** powering generative AI at scale.

You'll own the technical vision and architecture for CoreWeave's **Kubernetes-native orchestration platform** for AI workloads. Your work will define how **AI workloads are admitted, scheduled, and governed** across large GPU clusters using frameworks like Kueue and Ray. This role offers the chance to shape the platform powering **AI infrastructure at scale**.

You'll shape the orchestration platform for AI training and inference at scale at CoreWeave. Your work will directly enable customers to innovate faster by eliminating infrastructure bottlenecks. You'll define architectural direction for **SUNK (Slurm on Kubernetes)** and drive **cross-org initiatives** in scheduling and scaling.

You'll partner with Solutions Engineers and Product teams to shape AI deployment programs for large engineering organizations. Your work will turn ambitious AI visions into **structured implementation roadmaps**. This role sits at the intersection of **machine learning innovation** and enterprise infrastructure.

You'll lead a 24/7 team ensuring **high-volume server fleet delivery** and **reliability**. You'll drive automation and observability improvements to scale infrastructure 10x. This role uniquely combines process leadership with hands-on engineering impact.

You will maintain high-performance data center operations, performing hardware diagnostics, repairs, and equipment installation. You'll develop documentation, train teams, create scripts, and participate in on-call rotations to ensure 24/7 availability and reliability.

You'll join the GPU Performance team to build automation platforms for testing CoreWeave's GPU fleet at scale. Your work will ensure hardware stability and performance for AI workloads. This role offers deep exposure to **Kubernetes-based infrastructure** and **large-scale GPU performance testing**.

You'll lead on-site data centre operations for the cutting-edge cloud infrastructure at **CoreWeave**, a fast-growing AI cloud provider. Your core impact will be ensuring **maximum uptime** through hands-on leadership, hardware diagnostics, and team mentorship. This role offers the chance to **work with advanced AI infrastructure** in a hyper-growth environment.

You'll join a team ensuring **data center operations** reliability and availability for **AI cloud infrastructure**. You'll conduct hardware diagnostics, perform repairs, and support network issues in a hands-on environment. This role offers relocation support and exposure to cutting-edge AI infrastructure.

You'll deploy, operate, and improve high-bandwidth GPU interconnect platforms for the world's largest AI infrastructure. You'll ensure **NVLink/NVSwitch systems** run reliably across global data centers, driving automation and observability. This role offers hands-on work with cutting-edge hardware and deep troubleshooting.

You'll deploy, operate, and improve **NVLink/NVSwitch-based GPU interconnect platforms** across global data centers. You'll drive production troubleshooting and automation for some of the largest GPU infrastructure in the world.