Staff Software Engineer, Model LifeCycle

• Contribute to fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling.
• Implement and maintain end-to-end training pipelines for Large Language Models.
• Contribute to distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
• Develop and maintain agent execution infrastructure.
• Implement features for dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale.

This role accelerates the abundance of energy and intelligence by building sustainable cloud infrastructure that powers AI innovation without sacrificing scale, speed, or sustainability, contributing to responsible and transformative technology development.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8-10+ years of industry experience with demonstrated history of consistent success leading initiatives.
• Experience with Generative AI (Large Language Models, Multimodal) and AI infrastructure including training and inference.
• Proficiency in Golang or Python for large-scale, production-level services.
• Experience with PyTorch, training and fine-tuning LLMs, and performance optimizations on GPU systems.

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300/month

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