Job Description
CoreWeave is seeking a Senior Solutions Architect to guide enterprise customers in deploying GPU-accelerated HPC/AI/ML workloads on CoreWeave's cloud platform. You will translate customer requirements into robust, scalable architectures, help with deployment and optimization, and collaborate with Sales, Product, and Engineering teams to drive successful outcomes for GPU-accelerated computing across multiple locations.
Responsibilities
- Engage with customers to understand HPC/AI/ML workloads and performance goals.
- Design GPU-accelerated architectures using CoreWeave's cloud platform, including compute, storage, networking, and security.
- Advise on performance tuning, scalability, cost optimization, and reliability.
- Create reference architectures, whitepapers, and proofs-of-concept.
- Collaborate with Product and Engineering to influence roadmap based on customer feedback.
- Support pre-sales activities and technical demonstrations.
Requirements
- 5+ years in solutions architecture, cloud engineering, or HPC deployments.
- Strong knowledge of GPU compute, CUDA, NVIDIA GPUs, virtualization (VMware/KVM), containers (Docker/Kubernetes).
- Experience with cloud platforms (AWS, GCP, Azure) and modern deployment tooling (Terraform, Ansible, CI/CD).
- Excellent communication and customer-facing skills; able to present complex concepts to both technical and non-technical audiences.
- BS or MS in Computer Science, Electrical Engineering, or a related field.
Nice to have
- Hands-on experience with AI/ML pipelines, HPC workloads, distributed systems, or performance benchmarking.
About CoreWeave
CoreWeave provides GPU-accelerated cloud infrastructure for AI, ML, and HPC workloads. We partner with customers to accelerate research, testing, and production workloads on large-scale GPU clusters.