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:

The Senior Software Engineer for the Model LifeCycle team will contribute to building a managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).

What You will be working on:

• Implement and maintain systems for fine-tuning 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.
• Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
• Develop and maintain core agent execution infrastructure.
• Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.
  
  
  

Collaboration and impact

• Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.
• Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.
• 4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
• Engage with the open-source LLM ecosystem.
• This role involves significant implementation ownership for core system components.
  
  
  

What You’ll Bring to the Team:

• Engineering Fundamentals:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience delivering production-ready features.
• Familiarity with essential cloud-based services (e.g., compute, storage, networking).
• AI/ML Expertise:
• Familiarity with Generative AI (Large Language Models, Multimodal).
• Experience with AI infrastructure components (training, inference).
  
  
  

Preferred Qualifications:

• Proficiency in Golang or Python for production services.
• Familiarity with PyTorch.
• Some experience with training and fine-tuning LLMs.

• Personal Attributes:
• Proactive and collaborative approach.
• Strong communication and interpersonal skills.
• Passion for building AI products and solving technical problems.
  
  
  

Benefits:

• 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
  
  
  

Compensation Range

Compensation will be paid in the range of up to $172,425 - $209,000 + 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.