Staff Software Engineer, Crusoe Energy Systems

• 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
• This is a full-time position for a seasoned engineer who is passionate about merging deep AI infrastructure with world-class systems engineering
• Deep Engineering Foundations: 8–10+ years of industry experience with a demonstrated history of leading a varied portfolio of high-impact technical initiatives
• Production Excellence: A proven track record of delivering complex production features on time and at scale within a fast-paced environment
• Cloud Infrastructure Expertise: Hands-on experience with core cloud-based services, including elastic compute, object storage, virtual private networks, and managed databases
• Generative AI Mastery: Practical experience with Generative AI (LLMs, Multimodal) and the underlying infrastructure required for both training and inference
• Systemic Autonomy: A proactive, collaborative approach with the ability to drive independent workstreams while aligning with broader team goals
• Communication & Passion: Strong interpersonal skills and a visible passion for solving the industry's most challenging technical problems in the AI space
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Desirable

• Crusoe is seeking a Staff Software Engineer to join our Model LifeCycle team, where you will be a key architect of a managed platform designed for the next generation of AI application development
• In this role, you will build the infrastructure that allows developers to leverage Large Language Models (LLMs) and advanced foundational models at an unprecedented scale
• By focusing on the end-to-end model development lifecycle, you will ensure that Crusoe’s sustainable, high-performance cloud remains the platform of choice for the world’s most advanced AI builders
• As a Staff Engineer, you will have significant scope for ownership, transitioning from design to high-impact implementation of core systems from first principles
• You will bridge the gap between complex research and robust production systems, creating the abstractions and APIs that will define how models are trained, managed, and deployed
• Fine-Tuning System Development: Contribute to the development of sophisticated fine-tuning systems (SFT, PEFT, LoRA, adapters), ensuring reliable multi-node orchestration, checkpointing, and failure recovery
• End-to-End Training Pipelines: Implement and maintain robust training rimes for LLMs, including distillation and reinforcement learning pipelines such as preference and policy optimization
• Agent Execution Infrastructure: Develop and maintain the scalable, high-performance infrastructure required for reliable agentic execution and complex model workflows
• Lifecycle Management Features: Implement enterprise-grade features for dataset, model, and experiment management, focusing on versioning, lineage, and reproducible fine-tuning at scale
• Collaborative API Design: Work closely with Principal Engineers and product teams to shape the core abstractions and APIs that power the Crusoe AI ecosystem
• Architectural Strategy: Contribute to mission-critical decisions regarding training runtimes, scheduling, storage, and the long-term evolution of model lifecycle management
• Ecosystem Engagement: Engage with the open-source LLM community to ensure our platform stays at the cutting edge of AI innovation