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Key skills for this role
Define the multi-quarter VM technical strategy and roadmap, including operating model, prioritization framework, and technical standards
Architect and scale AI-powered triage automation: evaluate vendor solutions vs. in-house development, design integration architecture, and oversee production rollout
Own end-to-end automation architecture from assessment through detection creation to remediation orchestration and ticketing
Own specialized hardware vulnerability strategy for GPU firmware, DPU firmware (BlueField), and BMC attack surfaces
Serve as primary technical point of contact for embargoed vendor disclosures and zero-day response, driving emergency patch plans with owner teams that execute deployment
Establish severity, remediation, and exception-handling standards; ensure IC3/IC4 execution aligns with risk and business priorities
Define executive-facing VM metrics, risk posture reporting, and decision cadences with Security and Engineering leadership
Lead deep technical analysis during high-profile vulnerability incidents and drive post-incident technical improvements
Mentor IC3/IC4/IC5 engineers and raise the technical bar for automation design, code quality, and security judgment
Partner with security, engineering, and operational stakeholders to drive unified workflows and unblock cross-functional delivery
We are seeking a Staff Security Engineer to provide deep technical expertise and architecture for CoreWeave's Vulnerability Management program. As IC5, you are the technical owner for end-to-end VM strategy, architecture, and operating model across application, infrastructure, and hardware surfaces. You will define how the program scales, set quality bars for automation and risk decisions, and lead cross-functional execution with partner security and engineering teams. This is an individual contributor role with no direct people-management responsibilities. If you want to stay deeply technical while having strategic impact, this is the role.
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Define the multi-quarter VM technical strategy and roadmap, including operating model, prioritization framework, and technical standards
Architect and scale AI-powered triage automation: evaluate vendor solutions vs. in-house development, design integration architecture, and oversee production rollout
Own end-to-end automation architecture from assessment through detection creation to remediation orchestration and ticketing
Own specialized hardware vulnerability strategy for GPU firmware, DPU firmware (BlueField), and BMC attack surfaces
Serve as primary technical point of contact for embargoed vendor disclosures and zero-day response, driving emergency patch plans with owner teams that execute deployment
Establish severity, remediation, and exception-handling standards; ensure IC3/IC4 execution aligns with risk and business priorities
Define executive-facing VM metrics, risk posture reporting, and decision cadences with Security and Engineering leadership
Lead deep technical analysis during high-profile vulnerability incidents and drive post-incident technical improvements
Mentor IC3/IC4/IC5 engineers and raise the technical bar for automation design, code quality, and security judgment
Partner with security, engineering, and operational stakeholders to drive unified workflows and unblock cross-functional delivery
9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering
Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments
Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks
Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems
Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)
Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing
Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale
Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes
Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production
Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)
Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)
Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)
Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments
Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks
Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
Define technical vision and build programs that scale with organizational growth
Mentor senior engineers and develop the next generation of security leaders
Solve novel problems where industry best practices don't yet exist
Make sound technical trade-offs between short-term security needs and long-term business goals
How agentic AI will transform vulnerability management in the next 5 years
The strategic security challenges of specialized AI infrastructure at scale
What makes security programs successful in hyper-growth environments
How security decisions impact engineering velocity and customer trust
Security program design and technical program scaling
Strategic automation architecture and technical leadership
Hardware vendor partnerships and industry influence
Navigating technical disagreements with composure, listening and persuading through data and expertise
The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Specialized cloud provider for large-scale AI and machine learning.
Visit company websiteJobs and hiring trendsUSD 188000-275000 yearly / year
Full-time
Senior · 9+ years experience
Hybrid
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