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 the Role:
As a Staff Security Software Engineer in the Security Engineering Team, focusing on Managed AI (MI) and other products at Crusoe, you'll have a pivotal role in shaping the secure architecture and resilient design of our next-generation AI inference platform. You will lead the design and implementation of core security systems and guardrails for our AI services, including secure frameworks for multi-tenant isolation, service-to-service authorization, and API security, optimized for security, cost, and performance. This role gives you the opportunity to build and scale infrastructure capable of handling millions of API requests per second across thousands of customers.
From day one, you'll own security software engineering for critical subsystems for Crusoe managed infrastructure and managed AI inference. As part of a dynamic, fast-growing team, you’ll collaborate cross-functionally, influence the long-term vision of the security of the platform, and contribute to cutting-edge AI-security technologies.
What You'll Be Working On:
As a Staff Security Software Engineer in the Security Engineering Team, you’ll play a crucial role in building the core security systems and guardrails to deliver managed infrastructure, artificial neural networks and in the near term, large language models (LLMs) at scale securely from the ground up. You’ll own the design and implementation of key subsystems for secure data handling, access control, and resilient fault-tolerance. You will design and implement security controls and model catalogs, billing systems, dynamic pricing models, and have the opportunity of going deep into the model deployment stack for security and cost-optimized scheduling. Each day, you’ll collaborate with a small but growing team of engineers to build scalable cloud-based solutions that can handle millions of requests per second.
You will also create developer-facing tools and automation that catch security issues early in the development cycle, and perform security reviews, penetration tests, code reviews, and system design reviews.
You have a strong background in distributed systems design and implementation, with proven experience in early-stage projects and tight deadlines.
You are passionate about building scalable AI infrastructure and have experience with cloud-based services that can handle millions of requests with a strong focus on secure system design and implementation.
You enjoy problem-solving around performance optimizations, particularly when it comes to AI inference on GPU-based systems.
You have a proactive and collaborative approach, with the ability to work autonomously while engaging with a rapidly growing team.
You have strong communication skills, both written and verbal, and can translate complex technical challenges into understandable terms for cross-functional teams.
You’re excited about working in a fast-paced environment, contributing to a new product category, and having a tangible influence on the long-term vision of the AI platform.
You are passionate about open-source contributions and AI inference frameworks like VLLM, with a desire to push the boundaries of performance and scalability.
You are keen on customer-facing product development, with a desire to build user-friendly APIs that integrate real-world feedback for continuous improvement.
What You'll Bring to the Team:
7+ years of experience shipping production software with strong system design skills. Deep expertise in Golang or Python, with experience building and debugging distributed security systems.
Advanced degree in Computer Science, Engineering, or a related field.
Demonstrable experience in distributed systems design and implementation.
Proven track record of delivering early-stage projects under tight deadlines.
Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc
Hands-on experience securing AI/ML systems end-to-end, including LLM pipelines, vector databases, RAG architectures, and agentic workflows.
Production experience with application security tooling (SAST, DAST, SCA) and CI/CD integration, coupled with knowledge of runtime application security and observability tools.
Deep understanding of application security vulnerabilities, secure coding practices, cryptography, and secure design principles.
Strong background in implementing authentication and authorization systems
Experience in Generative AI (Large Language Models, Multimodal).
Experience with container runtimes (e.g., Kubernetes) and microservices architectures.
Experience using REST APIs and common communication protocols, such as gRPC.
Demonstrated experience in the software development cycle and familiarity with CI/CD tools.
Bonus Points
Experience building reusable security frameworks or internal developer platforms.
Proficiency in Golang or Python for large-scale, production-level services.
Familiarity with AI infrastructure, including training, inference, and ETL pipelines.
Contributions to open-source AI projects such as VLLM or similar frameworks.
Performance optimizations on GPU systems and inference frameworks.
Background in platform or infrastructure-adjacent security engineering
Familiarity with supply chain security and dependency risk management.
Growth Opportunities
Shape the foundation of a cutting-edge, customer-facing AI inference platform.
Become a technical leader in performance optimization and AI infrastructure.
Collaborate with partners like Intel and NVIDIA on pushing the limits of AI performance.
Contribute to open-source AI frameworks and gain visibility in the AI community.
Take on leadership roles as the team scales, with opportunities to mentor junior engineers and influence the product roadmap.
Benefits:
Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
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
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Compensation Range
Compensation will be paid in the range of up to $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's 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.