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Onsite role maintaining CoreWeave’s AI cloud data centers, performing hardware diagnostics, repairs, and on-call support in a 24/7 environment.
Senior Software Engineer builds and operates CoreWeave’s Kubernetes-based data platform, ensuring reliability, scalability, and security for AI workloads and mission-critical services.
Staff Applied Research Engineer on CoreWeave's OpenPipe team, developing self-improving AI agents that learn from experience using reinforcement learning and LLM post-training techniques. Work spans from RL research to production systems, leveraging GPU-rich infrastructure and tools like Megatron and Kubernetes to solve bottlenecks in continuous agent learning.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
Leads enterprise security and Identity & Access Management (IAM) programs at a cloud AI infrastructure company, ensuring secure, least-privileged access across systems while managing cross-functional initiatives.
Designs and maintains CoreWeave’s Kubernetes-based data platform, ensuring high availability, security, and performance for AI workloads and data pipelines using tools like Spark, Kafka, and Prometheus.
Senior engineer builds and maintains billing systems in Go, ensuring accurate, auditable revenue capture and customer-facing dashboards for a cloud AI platform.
Designs and scales CoreWeave’s multi-regional data infrastructure, focusing on stream processing, event-driven architecture, and managed data solutions using distributed datastores like CockroachDB and Kafka.
Maintains physical data center infrastructure by diagnosing, repairing, and upgrading hardware/networking equipment; handles on-call emergencies; writes scripts for server/network updates; and trains teams—ensuring 24/7 uptime for CoreWeave’s AI cloud platform.
Builds and maintains data pipelines and dashboards that turn supply-chain data into trusted KPIs for spend, lead times, and on-time performance across CoreWeave’s data-center build network.
Manages budgets, contracts, and procurement for CoreWeave’s global data center physical security program, ensuring scalable financial and operational discipline as the company grows.
Senior engineer building and operating a Kubernetes-native test framework that validates bare-metal host images and infrastructure for a large GPU cloud platform, using Rust and Python.
Design and deliver AI infrastructure demos and proofs-of-concept for new customers, partnering with sales and engineering to onboard greenfield AI teams onto CoreWeave’s GPU-powered cloud platform.
Senior Systems Engineer builds and scales legal tech systems like Ironclad CLM, automating contract workflows and integrations to support a fast-growing AI cloud company.
Leads the product strategy and roadmap for CoreWeave’s Kubernetes and container services powering AI workloads, collaborating with engineering and go-to-market teams.
Lead the product strategy for CoreWeave’s high-performance cloud storage solutions, ensuring they meet AI workload demands for speed, reliability, and scalability.
Design and implement security controls for CoreWeave’s operational technology networks, including segmentation, risk assessment, and incident response, while collaborating with engineering teams to protect datacenter infrastructure.
Leads end-to-end delivery of hyperscale data center builds for CoreWeave’s AI cloud, coordinating engineering, supply chain, and operations to commission infrastructure and scale global capacity.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
As a Staff Software Engineer in the Compute Architecture organization, you'll build Go-based distributed services to manage GPU data center infrastructure, including hardware lifecycle workflows, health monitoring, and automation. Core technologies include Go, Kubernetes, Prometheus, and GPU server operations.
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