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Cloud • Information Technology • Machine Learning
Owns fleet-wide reliability and operations programs for a large-scale AI cloud infrastructure environment. Establishes reliability metrics and dashboards, aligns engineering and operations teams on OKRs, identifies systemic infrastructure gaps, leads cross-functional improvement programs, manages dependencies and risks, and drives incident follow-up and corrective actions. Requires strong technical aptitude across compute, storage, networking, hardware, software, and SRE, plus experience managing programs in rapidly scaling cloud or infrastructure environments.
Cloud • Information Technology • Machine Learning
Staff Product Quality Engineer role at CoreWeave. The provided posting contains compensation, benefits, equal opportunity, accommodation, and export-control information, but does not specify detailed responsibilities, technologies, or qualification requirements.
Cloud • Information Technology • Machine Learning
Own the end-to-end IT SOX compliance program, including control inventories, documentation, execution, evidence collection, issue remediation, and reporting. Translate compliance requirements into scalable workflows and systems, partner with IT and finance stakeholders on SDLC and application controls, review evidence, lead root cause analyses, and report control health to leadership. The role requires deep ITGC, SOX, audit, GRC, and enterprise systems experience.
Cloud • Information Technology • Machine Learning
Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.
Cloud • Information Technology • Machine Learning
Own data center OpEx and power planning, forecasting, budgeting, variance analysis, financial reporting, scenario modeling, and cost optimization. Build complex operational and financial models, develop dashboards, and provide actionable insights to executive leadership. Partner cross-functionally with data center operations, capacity planning, power and sustainability, and sales teams to support strategic decisions and business growth.
Cloud • Information Technology • Machine Learning
Owns CoreWeave’s Physical AI communications strategy, including messaging, media relations, product and customer launches, executive thought leadership, technical content, and reporter relationships. The role translates AI infrastructure, robotics, autonomy, and scientific computing into credible narratives, advises senior leaders, coordinates cross-functional communications, develops customer and partner stories, and measures coverage and message performance.
Cloud • Information Technology • Machine Learning
Designs, automates, and supports server hardware infrastructure across its lifecycle, including provisioning, firmware management, monitoring, qualification, deployment, troubleshooting, and decommissioning. The role performs hardware and firmware root-cause analysis, manages vendor and OEM relationships, supports data center expansion, participates in on-call escalations, and improves reliability through automation, telemetry, documentation, and operational tooling.
Cloud • Information Technology • Machine Learning
Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.
Cloud • Information Technology • Machine Learning
Partners with Data Center Operations leaders on workforce planning, talent calibration, performance management, compensation, employee relations, organizational change, and workplace advisory matters. Uses data and HR expertise to identify trends, guide complex people decisions, manage risk, and deliver scalable solutions across multi-site, frontline operations. Requires regular travel to data centers and collaboration with Legal, Talent, Finance, People Operations, and Centers of Excellence.
Cloud • Information Technology • Machine Learning
Leads FP&A and strategic finance for supply chain and technical design organizations. Responsibilities include forecasting, budgeting, reporting, hardware costing, infrastructure rate cards, cost optimization, capital allocation, and partnership with engineering, operations, supply chain, and product teams. Manages and develops a finance team while building scalable financial processes in a high-growth, capital-intensive environment.
Cloud • Information Technology • Machine Learning
Lead and grow a global team of Go developers building Kubernetes operators and automation for server fleet provisioning and lifecycle management. Set technical direction, prioritize work, and collaborate with hardware, fleet operations, and infrastructure teams. Establish onboarding, documentation, enablement, performance management, testing, deployment automation, observability, incident management, and reliability practices for large-scale fleet services.
Cloud • Information Technology • Machine Learning
Leads the Data Service Team, hiring and developing engineers while designing and operating scalable managed database services. Responsibilities include improving performance, security, reliability, and scalability; establishing data access standards; analyzing telemetry; ensuring regulatory compliance; and partnering with platform, product, and infrastructure teams. The role requires deep database, cloud-native, distributed systems, Kubernetes, observability, and reliability engineering expertise.
Cloud • Information Technology • Machine Learning
Owns the design, deployment, governance, and operation of enterprise AI platforms and employee-facing agents. Builds secure control layers including identity, access, device, tenant, MCP, secrets, logging, rate limiting, and cost controls. Establishes AI lifecycle processes, evaluates and rolls out new tools, operates infrastructure to SRE standards, and develops telemetry, dashboards, runbooks, and incident response. Partners with Security, Legal, Privacy, and IT teams to translate governance requirements into enforceable technical controls.
Cloud • Information Technology • Machine Learning
Lead the marimo engineering team across its open-source Python notebook ecosystem and molab cloud service. Manage and mentor engineers, guide architecture and technical direction, oversee staffing and releases, improve testing and CI/CD, and establish reliable production operations including observability, incident response, and capacity planning. The role also involves evaluating community contributions, translating user feedback into product improvements, and strengthening engineering practices as the team grows.
Cloud • Information Technology • Machine Learning
Design and implement distributed, exabyte-scale S3-compatible object storage for AI workloads. Improve storage reliability, durability, security, observability, throughput, and latency using technologies such as RDMA, GPU Direct Storage, and distributed filesystem protocols. Collaborate with infrastructure, platform, product, and operations teams to deploy and troubleshoot production systems, develop monitoring dashboards, analyze telemetry, and mentor engineers.
Cloud • Information Technology • Machine Learning
Leads end-to-end international data center expansion programs across EMEA, APAC, and emerging markets. Owns demand-to-supply alignment, market prioritization, land and lease execution visibility, integrated planning, risk management, pipeline processes, and executive portfolio reviews. Coordinates Legal, Finance, Engineering, Operations, and Due Diligence teams while managing program interdependencies, resource sequencing, and international market-entry milestones. The role also manages direct reports and develops scalable intake and tracking workflows.
Cloud • Information Technology • Machine Learning
Provide proactive administrative support to up to three VP-level Product and Engineering leaders. Manage complex calendars across time zones, coordinate travel, resolve scheduling conflicts, protect executive focus time, handle expenses, manage vendor and partner relationships, and support team events and company-wide initiatives. The role requires discretion, strong judgment, organization, attention to detail, and the ability to operate independently in a fast-paced technical environment.
Cloud • Information Technology • Machine Learning
Leads technical sourcing strategy for data center hardware and infrastructure portfolios. Owns supplier selection, RFI/RFQ/RFP processes, negotiations, contracts, cost modeling, supply resilience, supplier performance, and lifecycle management. Partners cross-functionally with engineering, finance, legal, operations, and planning teams to secure capacity, optimize total cost of ownership, mitigate supply risks, and support transitions from prototype through global production deployment.
Cloud • Information Technology • Machine Learning
Leads data center site selection across the Americas, from market screening and technical, utility, regulatory, and environmental due diligence through lease execution and delivery readiness. Coordinates Engineering, Finance, Legal, Capacity Planning, Program Management, and external partners while managing pipeline documentation, transaction milestones, risks, and executive approvals. Evaluates opportunities, supports lease negotiations, maintains Salesforce records, and ensures successful handoffs into buildout and operations.
Cloud • Information Technology • Machine Learning
Leads manufacturing program execution across NPI and sustaining operations, including EVT through MP readiness, build and test planning, transition to production, risk management, quality issue resolution, supply chain strategy, and executive communication. Coordinates engineering, manufacturing, supply chain, quality, contract manufacturers, and product management to drive milestones, readiness gates, corrective actions, and cross-functional decisions.
