Engineering Manager, Crusoe Energy Systems

• 2+ years of experience managing high-performing engineering teams
• Strong track record of hiring, developing, and retaining engineering talent
• Ability to lead teams through ambiguity and drive alignment around complex technical goals
• Prior hands-on experience building distributed systems or AI infrastructure
• Deep understanding of cloud-native environments, container orchestration, and service-oriented architectures
• Familiarity with GPU performance, inference frameworks, or LLM-based systems is a strong plus
• Comfortable owning deliverables from early design through production rollout
• Strong collaboration skills, with a bias for clarity, context sharing, and customer impact
• Experience operating in fast-paced startup or growth-stage environments
• Background in Computer Science, Engineering, or a related technical field
• Growth-minded leader who empowers and supports others
• Excellent communicator and relationship builder
• Passionate about building world-class AI infrastructure and teams

Desirable

• As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation AI inference platform
• You will be responsible for guiding the team through the design and implementation of high-performance, fault-tolerant infrastructure to serve large language models (LLMs) at scale
• This role combines technical depth with people leadership — you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high-caliber engineers
• As part of a fast-growing, strategically important organization, you’ll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide
• Lead the design and implementation of core AI services, including:
• Manage and grow a team of software engineers working on Crusoe’s Managed AI platform
• Set clear goals, drive accountability, and support career development for team members
• Partner with product and engineering leadership to define and execute on the AI roadmap
• Foster a high-performance, collaborative engineering culture grounded in technical excellence
• Oversee the architecture and development of core AI services, including:
• Fault-tolerant task queues
• Model management systems
• Cost-aware scheduling frameworks
• High-performance APIs for real-time inference
• Ensure the team delivers scalable systems capable of handling millions of API requests per second
• Guide the team in implementing performance optimizations for GPU-based inference workloads
• Work cross-functionally with product managers, infrastructure teams, and GTM stakeholders
• Represent engineering in strategic discussions related to AI platform growth and customer adoption
• Promote knowledge sharing, technical mentorship, and operational best practices within the team
• Contribute to the evolution of Crusoe’s engineering processes and broader AI strategy