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CoreWeave

Rents GPU cloud computing for AI developers

Specialist Field Engineer - Federal Security

Implementation & Technical Account ManagementUpdated on Nov 13
Full-timeWashington, DC, USA

About the Job

Requirements

  • Be a U.S. citizen and hold an active Top Secret/SCI clearance or an active Secret clearance with the ability to obtain TS/SCI; be willing to support work in SCIFs and other secure facilities as required.
  • Have a B.S. in Computer Science or a related technical discipline, or equivalent experience.
  • Have 7+ years of experience as a Solutions Architect, engineer, researcher, or forward-deployed engineer in cloud infrastructure, building distributed systems or HPC/cloud services, with expertise securing Kubernetes workloads.
  • Have 3+ years of that experience directly supporting federal customer and/or Defense Industrial Base engagements with DoD, Intelligence Community, or civilian agency customers in a customer-facing technical role.
  • Have hands-on experience delivering systems into accredited federal environments and demonstrated fluency in at least one of FedRAMP authorization, DoD Impact Level accreditation, RMF/ATO packages, or CMMC readiness.
  • Be fluent in cloud computing concepts, architecture, and technologies, with hands-on experience designing and implementing cloud solutions.
  • Have experience with NVIDIA GPUs typically used in AI/ML applications and associated technologies, including networking.
  • Have a deep understanding of administering Kubernetes clusters, including RBAC, admission controllers, and container security.
  • Have experience explaining security concepts and best practices clearly and understanding the security tooling landscape in Kubernetes environments.
  • Have working knowledge of hardened container supply chains in regulated environments, including image provenance and signing, SBOMs, FIPS 140-validated cryptography, STIG-compliant baselines, and secure or air-gapped design patterns.
  • Meet the applicable U.S. export-control eligibility requirements for access to export-controlled information: be a U.S. person, be eligible to access the information without export authorization, or be eligible and reasonably likely to obtain required authorization.

Responsibilities

  • Serve as the primary technical point of contact for customers, establish technical relationships, and support customer success with cloud infrastructure offerings, focusing on securing Kubernetes workloads in regulated cloud infrastructure environments.
  • Act as lead security technologist for federal engagements, partnering with DoD, Intelligence Community, civilian agency customers, defense primes, systems integrators, and SLED organizations to architect accredited AI/HPC environments that meet mission and compliance requirements.
  • Collaborate with customers to understand their business needs and create, prototype, and deploy tailored solutions.
  • Translate federal security and compliance requirements, including FedRAMP Moderate/High, FISMA, NIST SP 800-53 and 800-171, DoD Cloud Computing SRG Impact Levels IL4/IL5/IL6, CMMC, and DISA STIGs, into Kubernetes and GPU infrastructure architecture and controls in collaboration with the federal compliance team.
  • Support ATO efforts under the NIST Risk Management Framework by contributing to control narratives, System Security Plans, POA&Ms, and continuous-monitoring evidence, and serve as customer-facing technical authority during assessor and AO engagements.
  • Lead proof-of-concept initiatives in specific environments, including classified and controlled enclaves and air-gapped or disconnected deployments.
  • Provide technical leadership and direction during customer meetings, presentations, and workshops; address technical questions and concerns; and brief customer stakeholders, their leadership, and program stakeholders.
  • Act as a virtual member of Security product and engineering teams, identify product enhancements, collaborate with engineers to implement suggestions, and channel federal customer requirements into the roadmap for government offerings and compliance posture.
  • Provide insights on product features, functionality, and performance and contribute to product strategy and architecture discussions.
  • Conduct periodic technical reviews and assessments of customer workloads, identify workload-optimization opportunities, suggest solutions, and identify compliance drift or control gaps in regulated environments.
  • Support federal compliance teams in enabling security-compliance automation for internal and external reporting requirements.
  • Monitor developments in Kubernetes, cloud computing and infrastructure, federal cloud security policy, zero-trust mandates, and emerging guidance on securing AI systems, and share insights with customers and internal stakeholders.
  • Lead prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and insights for internal use.
  • Represent the company at conferences and industry events and travel occasionally to customer and government facilities.

Desired Qualifications

  • Have experience with DoD network environments such as NIPR, SIPR, or JWICS, or Intelligence Community cloud programs.
  • Have prior experience at a Cloud Service Provider, defense prime, or federal systems integrator supporting a FedRAMP or DoD authorization boundary.
  • Hold certifications such as CISSP, CCSP, CMMC RP, or CCA, or equivalent.
  • Have experience securing AI/ML training and inference workloads for national-security missions.

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

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