Staff Software Engineer, Model LifeCycle

Crusoe•San Francisco, CA

1d•$204,000 - $247,000

About The Position

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. 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 Language Models (LLMs).

Requirements

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.
Experience with Generative AI (Large Language Models, Multimodal).
Experience with AI infrastructure, including training, inference.
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.

Nice To Haves

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

Responsibilities

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.
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.

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 will be paid in the range of up to $204,000 - $247,000 + 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.