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CoreWeave

Rents GPU cloud computing for AI developers

Senior Security Engineer - Vulnerability Management

Security Engineering & ArchitectureUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 7 years of experience in security engineering, software engineering, or a related technical role, including designing and operating production software and leading technical initiatives across teams.
  • Experience owning a technical area within vulnerability management or a related security engineering discipline, including shaping what to build and following through on its operation and maintenance.
  • Strong software development experience in Python, Go, Rust, or a similar language, with experience designing, building, and maintaining production services, including automated testing, deployment, monitoring, and troubleshooting.
  • Experience designing systems that process security data and integrate multiple services, making and explaining design decisions about data models, APIs, performance, and failure handling, reviewing other engineers’ designs and code, and improving existing systems as requirements and scale change.
  • Hands-on experience building LLM-based workflows or agents for production use, including evaluating accuracy, understanding limitations, investigating failure cases, and establishing where human review is needed.
  • Strong understanding of Linux, containers, cloud, and Kubernetes, with experience investigating vulnerabilities and weighing remediation options against operational constraints.
  • Experience assessing how exposure, exploitability, trust relationships, and existing controls affect vulnerability risk, and using this analysis alongside CVSS, EPSS, and known exploitation to explain remediation priorities and drive technical decisions across teams.
  • Experience leading technical work across engineering teams, collaborating with multiple stakeholders, resolving disagreements about implementation or remediation, and improving systems that multiple teams depend on.
  • Experience mentoring engineers and contributing to team practices that improve code quality, testing, and reliability.

Responsibilities

  • Own the technical direction for key areas of Vulnerability Management and identify gaps in visibility.
  • Lead the deployment and integration of security tooling to close visibility gaps.
  • Design and build automation that brings together findings from multiple sources, including LLM-based workflows and agents for validation, risk assessment, and remediation guidance, and establish how to test and monitor their accuracy in production.
  • Lead investigations involving scanner findings, bug bounty reports, and new CVEs and disclosures; examine how weaknesses combine into attack paths and help teams choose effective fixes.
  • Lead remediation efforts across engineering teams, resolve technical blockers, and improve the systems and processes that slow down vulnerability burndown.
  • Participate in the vulnerability response on-call rotation and drive technical investigations and post-mortems for urgent vulnerability events.
  • Mentor engineers on the team through design reviews, code reviews, and hands-on problem solving.

Desired Qualifications

  • Experience working with Wiz, Rapid7, CrowdStrike, or similar security platforms, and workflow tools such as Tines and Jira.
  • Experience improving bug bounty or vulnerability disclosure programs, including handling complex reports and coordinating fixes with researchers and engineering teams.
  • Experience in application security, cloud security, red team, penetration testing, blue team, or incident response that helps explain how attackers exploit weaknesses and how defenders detect or stop them.
  • Experience building systems for asset inventory, ownership mapping, external attack surface management, automated remediation, or attack path analysis.
  • Experience investigating firmware or hardware vulnerabilities in GPU infrastructure or server management interfaces.
  • Experience building reporting and evidence collection that show whether remediation commitments are being met and where risk remains.

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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