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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
Manage and audit data center hardware and IT asset inventories, coordinate shipping and receiving, maintain documentation, allocate resources, resolve discrepancies, and report inventory information. The role collaborates with Operations, IT, Procurement, and Finance teams, uses inventory and asset management tools, requires Excel proficiency, and involves lifting equipment and traveling to other data center locations as needed.
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
Owns ERP finance master data governance, including policies, data dictionaries, workflows, quality assessments, KPI reporting, compliance monitoring, and stewardship councils. The role improves master data processes, supports automation and system enhancements, performs root cause analysis, and collaborates cross-functionally. Candidates need accounting or finance knowledge, data governance or master data experience, project management skills, and familiarity with ERP implementations, finance system integrations, querying tools, and metadata platforms.
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
Develop advanced threat detection capabilities, custom alert logic, threat-hunting exercises, and real-time incident response processes. The role collaborates with Red and Purple Teams, researches emerging threats, improves security visibility, contributes to security architecture and controls, and supports security assessments. Responsibilities include Kubernetes-focused detection, multiple query and programming languages, endpoint event analysis, incident containment, remediation, and occasional after-hours on-call participation.
Cloud • Information Technology • Machine Learning
Build and operate security infrastructure, including SIEM systems, large-scale data pipelines, searchable data lakes, and security observability capabilities. Integrate infrastructure sources, acquire and process high-volume logs, and support detection, threat hunting, and insider-risk programs. Collaborate with security, data platform, and infrastructure teams to deliver reliable, scalable solutions using Go or Python, Kubernetes, Elasticsearch, and related technologies.
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.
Cloud • Information Technology • Machine Learning
Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.
Cloud • Information Technology • Machine Learning
Design, implement, and operate CoreWeave’s attestation infrastructure and cryptographic systems. Build services that verify cloud infrastructure integrity using hardware roots of trust, manage PKI, HSMs, secrets, and key-management integrations, and develop scalable automation for trusted infrastructure data. Collaborate across teams to deliver secure, reliable cryptographic services. Requires strong PKI knowledge, software development skills in Go or Python, Kubernetes experience, and at least five years in security or infrastructure engineering.
Cloud • Information Technology • Machine Learning
Manage data center hardware and IT asset inventories, including servers, networking equipment, and materials. Coordinate shipping, receiving, storage, and distribution; conduct audits; maintain accurate records; resolve discrepancies; allocate resources; and provide reports. Collaborate with Operations, IT, Procurement, and Finance teams while supporting multiple data center locations. The role is fully onsite, involves lifting heavy objects, and requires travel as needed.
Cloud • Information Technology • Machine Learning
Develop and maintain scalable software for CoreWeave’s GPU infrastructure validation and performance testing platform. Build automated performance tests and hardware validation workflows, maintain Kubernetes controllers and operators, extend open-source tooling for system metrics and health visibility, troubleshoot infrastructure at scale, and participate in on-call support. The role requires Go or Python development and production-scale Kubernetes experience, with backend, hardware testing, HPC, and AI/ML infrastructure experience preferred.
Cloud • Information Technology • Machine Learning
Lead CoreWeave’s OT and network security programs across owned data centers and colocation providers. Responsibilities include establishing asset inventories, vulnerability management, security standards, network access controls, compliance assurance, exception processes, and third-party accountability. The role translates technical priorities into program plans, manages risks and dependencies, tracks measurable outcomes, and communicates with engineering, operations, security, legal, and executive stakeholders.
Cloud • Information Technology • Machine Learning
Manages data center hardware and IT asset inventory, including tracking, shipping, receiving, storage, allocation, audits, and documentation. Resolves inventory discrepancies, maintains accurate records using inventory and asset management software, and collaborates with Operations, IT, Procurement, and Finance. The role is fully onsite, requires handling heavy objects, and includes travel to support audits and inventory management at other data center locations.
Cloud • Information Technology • Machine Learning
Lead design of data center fit outs, ensuring compliance with project requirements and coordinating across teams. Manage projects from design through construction.
Cloud • Information Technology • Machine Learning
Lead electrical engineering design and delivery for hyperscale data center facilities. Develop scalable electrical infrastructure solutions, review consultant and contractor designs, validate electrical loads and system performance, conduct technical studies, ensure code compliance, and support testing, inspections, commissioning, troubleshooting, budgets, and schedules. Coordinate with consultants, vendors, IT, operations, mechanical, and project teams. Travel to various data center sites is required.
