Staff Product Security Engineer at Crusoe, an AI infrastructure company. Focus on advanced penetration testing, AI/ML security research, and securing LLM pipelines, vector databases, and agentic workflows across distributed systems.
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
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., ReAct, 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
Benefits:
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
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.