Staff Software Engineer, Model LifeCycle

Job DescriptionJob Description

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 Staff Software Engineer for the Model LifeCycle team will play a key role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Models (LLMs).

What You will be working on:

• 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 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.

Collaboration and impact

• Work closely with Principal Engineers, product, business, and platform teams to implement the core abstractions and APIs of the system.

• Contribute to architectural decisions around training runtimes, scheduling, storage, and model lifecycle management.

• Engage with the open-source LLM ecosystem.

• This role offers significant scope for ownership — you'll be implementing and contributing to the design of core systems.

What You’ll Bring to the Team:

• Strong Engineering Fundamentals:

  • 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 a varied portfolio of initiatives across your function

  • Proven track record of delivering production features on time.

  • Experience in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc.

• AI/ML Expertise:

  • Experience with Generative AI (Large Models, Multimodal).

  • Experience with AI infrastructure, including training, inference.

• Qualifications:

  • Proficiency in Golang or Python for large-scale, production-level services.

  • Experience contributing to open-source AI projects.

  • Experience with performance optimizations on GPU systems and inference frameworks.

  • Experience working with PyTorch

  • Experience with training and fine-tuning LLMs

• Personal Attributes:

  • Proactive and collaborative approach with the ability to work independently.

  • Strong communication and interpersonal skills.

  • Passion for building cutting-edge AI products and solving challenging 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  

• 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 $208,725 - $253,000 + 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 , , , , genetic information, , citizenship, marital status, /, preference/ , , , veteran status, , or any other status protected by law or regulation.