Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

ABOUT THIS ROLE:

We’re seeking a Staff Product Security Engineer with deep AI/ML security expertise to strengthen Crusoe’s security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and building secure-by-design guardrails that engineering teams rely on.

You’ll operate at the intersection of offensive security, AI systems, and production engineering; owning security outcomes end-to-end while influencing system design across the organization.

WHAT YOU’LL BE WORKING ON:

• Performing advanced manual penetration testing across complex applications, infrastructure, Kubernetes environments, and distributed microservice ecosystems

• Leading offensive security initiatives including red team operations, adversary simulation, and security research

• Securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows

• Identifying and researching novel attack surfaces unique to LLMs and autonomous systems, contributing to internal and external AI security research

• Influencing secure system design across the SDLC, embedding security into CI/CD pipelines, container images, and deployment workflows

• Integrating and operationalizing security tooling (SAST, DAST, SCA, container scanning) and driving remediation of complex application-layer vulnerabilities

• Building internal security guardrails such as hardened base images, reusable libraries, and policy-as-code frameworks

• Developing production-grade security tooling and leading cross-functional security programs from design through deployment

WHAT YOU’LL BRING TO THE TEAM:

• 8-10 years of deep hands-on experience in offensive security, including manual penetration testing, red team operations, and adversary simulation

• Familiarity with modern C2 frameworks (e.g., Cobalt Strike, Sliver, Havoc), exploit development, and security research

• Strong expertise across the AI/ML stack, including MLOps, inference architectures, vector databases, RAG, and agentic frameworks (e.g., Re Act, Reflexion)

• Experience building, deploying, and securing LLM pipelines and AI workflows in Kubernetes and/or bare-metal environments

• Strong software engineering foundations with experience shipping production code in Go, Python, or Rust

• Hands-on experience securing Kubernetes, containers, VMs, and CI/CD environments

• Deep understanding of application security vulnerabilities, secure coding practices, and distributed system design

• Demonstrated ability to lead complex, cross-functional security initiatives end-to-end

• Strong communication skills with the ability to influence both engineering teams and executive stakeholders

BONUS POINTS

• Public contributions to offensive security or AI security research (talks, blogs, tooling, CVEs, etc.)

• Experience building internal red team or adversary simulation programs

• Background in high-performance computing, AI infrastructure, or cloud-native platform security

• Experience designing policy-as-code frameworks at scale

Compensation Range:

Compensation will be paid in the range of up to $250,000 - $285,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.