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Designs and builds secure, high-performance sandboxed runtime environments for GPU-accelerated Kubernetes workloads, integrating container runtimes, virtualization, and Linux systems engineering.
Senior Software Engineer designs and builds Go-based gRPC APIs and Kubernetes CRDs to automate provisioning and lifecycle management for CoreWeave’s global bare-metal server fleet.
Design and operate scalable data infrastructure including managed databases, data ingestion, and stream processing to support CoreWeave's AI cloud platform.
Designs, scales, and operates high-performance network services for an AI-focused cloud platform, focusing on reliability, security, and low-latency networking for GPU workloads.
Designs and builds automated compliance pipelines and policy-as-code tooling to keep CoreWeave's AI compute infrastructure secure, audit-ready, and compliant with frameworks like SOC 2 and ISO 27001 using Go or Python.
Builds and maintains Kubernetes-native AI research infrastructure for CoreWeave’s customers, focusing on job orchestration, distributed training, and developer tooling to accelerate AI model development.
Designs and maintains CoreWeave’s Kubernetes-native AI orchestration platform (SUNK) to run large-scale GPU workloads reliably and efficiently, using Go and distributed systems expertise.
Senior Salesforce Administrator designs, optimizes, and maintains Salesforce systems and integrations to support CoreWeave's sales, marketing, and revenue operations in a fast-growing AI cloud company.
Designs and builds code-generation pipelines that turn API contracts into Go SDKs, CLI tools, and Terraform resources, improving developer experience for an AI cloud platform.
Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
Senior engineer builds and maintains billing systems in Go, ensuring accurate, auditable revenue capture and customer-facing dashboards for a cloud AI platform.
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.
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.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
Builds and scales CoreWeave’s AI platform infrastructure, transitioning from monolithic to distributed architecture and enabling agentic AI workflows for engineering simulation.
Design and build secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes platforms, working at the intersection of container runtimes, lightweight virtualization, GPU infrastructure, and Linux systems engineering.
Senior Software Engineer builds and maintains real-time network monitoring and observability systems for CoreWeave’s GPU cloud, using Go/Python and SDN to ensure high-performance, reliable networking.
Senior engineer on CoreWeave's Runtime & GPU Systems team designing secure, sandboxed Kubernetes runtime environments for GPU-accelerated AI workloads. Day-to-day involves runtime isolation, GPU-aware scheduling, and performance tuning across Linux internals, container runtimes, lightweight VMs (Kata, gVisor, KubeVirt, QEMU), and GPU drivers using Go, C/C++, Rust, and Bash.
Senior full-stack engineer on CoreWeave's Applications Engineering team, building and owning in production the internal apps and the UNION data platform (natural-language lakehouse querying) that run the company's AI infrastructure business. Stack: TypeScript with React/Next.js, Python services on Kubernetes, Postgres, plus LLM agents and evals.
Senior Java developer/architect who owns the full lifecycle of complex enterprise applications and integration solutions for financial-services clients — analyzing system landscapes, designing architectures and interfaces, and implementing in the Java ecosystem. Core stack: Java, Jakarta EE, Spring Boot, JPA, OpenAPI, Docker, Kafka, REST, CI/CD and cloud.
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