Top Tech Jobs & Startup Jobs in Seattle, WA

Design, implement, and improve security controls for operational technology (OT) networks in datacenter environments. Identify and remediate risks, create inventories and risk registers, coordinate penetration testing and vulnerability mitigation, embed security into OT systems, develop recovery and response playbooks, and present technical findings to stakeholders while partnering with engineering and third parties to reduce risk.

Lead product strategy and roadmap for CoreWeave's cloud storage offerings, focusing on high-performance file and dedicated storage for AI workloads. Conduct market research, collaborate with engineering to design and launch scalable storage features, advocate for customers, coordinate cross-functional launches, and monitor product performance using data-driven insights to guide enhancements.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

Design and implement security controls for identity, access management, and endpoint security. Lead initiatives around zero trust and phishing-resistant MFA.

Administer multi-tenant Kubernetes platforms, manage application deployments, troubleshoot incidents, and ensure system reliability while collaborating with development teams.

The Master Scheduler is responsible for managing the end-to-end scheduling of material deliveries for data center projects, ensuring timely arrivals, tracking deliveries, mitigating risks, and coordinating with multiple teams.

Lead vision and delivery of an AI-driven intranet and underlying employee platforms, unifying events, Slack, search, and internal communications. Own platform strategy, governance, and AI standards; balance policy/governance work with hands-on platform building. Partner with Communications, People/HR, Engineering, and AI teams to scale a tailored employee experience across roles and time zones.

Author, profile, and optimize CUDA GPU kernels for LLM inference to maximize throughput and minimize latency. Build reproducible microbenchmarks and MLPerf workflows, collaborate across product, hardware, and orchestration teams, lead designs and reviews, mentor engineers, and translate kernel wins into end-to-end model-serving performance improvements.

Lead end-to-end technical programs for CoreWeave's CPU compute IaaS, partnering with engineering, product, operations, and security to define scope, milestones, and success metrics. Drive performance, scalability, reliability, automation, and observable infrastructure; implement scalable processes, influence technical decisions, manage risks/dependencies, and deliver long-term infrastructure roadmaps.

Lead strategic sourcing for storage and components for AI hardware across global data center deployments. Drive supplier selection, negotiations, contract lifecycle, NPI to production transitions, cost optimization, market intelligence, and supplier performance management while collaborating with engineering and executive stakeholders.