C

CoreWeave

Rents GPU cloud computing for AI developers

Account Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 13
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • U.S. citizenship and an active U.S. government security clearance at Secret level or higher; must be eligible to obtain and maintain higher clearance levels.
  • At least 5 years in a solutions engineer, solutions architect, or technical field engineering role, including at least 3 years supporting federal customers.
  • Strong Python proficiency and hands-on experience training, fine-tuning, evaluating, and deploying modern deep learning models, including large language models.
  • Experience designing and deploying production agentic applications for real customer use cases.
  • Working knowledge of federal cybersecurity frameworks and authorization processes.
  • Familiarity running AI workloads on at least one major cloud platform, such as AWS/GovCloud, Azure/Government, or GCP/Government.

Responsibilities

  • Serve as the named technical partner for federal customers across CoreWeave's full platform.
  • Provide technical guidance on running AI workloads in regulated environments, including FedRAMP, DoD Impact Levels IL2–IL6, and emerging AI-specific federal standards.
  • Represent the federal customer internally by distilling requirements, compliance gaps, and federal use-case patterns for Product, Security, and Engineering.
  • Build reference architectures and enablement content for federal engagements, raising the technical bar of the federal field organization as it scales.

Desired Qualifications

  • Active TS/SCI clearance, ideally with a current CI or Full Scope Polygraph.
  • Familiarity with deep learning frameworks such as PyTorch and modern large language model tools including vLLM, LangChain, and LlamaIndex.
  • Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage.
  • Experience using Slurm or Kubernetes for machine-learning job orchestration, especially in air-gapped or classified environments.
  • Background in ML Engineering, AI Engineering, MLOps, or LLMOps with public sector or defense customers.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

Recently Posted Jobs

Explore more opportunities at CoreWeave

See more jobs