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Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!

Crusoe

Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Staff Software Engineer, Model Lifecycle at Crusoe Energy Systems

Role Overview

Crusoe Energy Systems is on a mission to accelerate the abundance of energy and intelligence. We are building the infrastructure to power a world where people can create ambitiously with AI without sacrificing scale, speed, or sustainability. As a Staff Software Engineer on the Model Lifecycle team, you will play a pivotal role in developing a comprehensive platform for managing the entire application development lifecycle, with a particular emphasis on leveraging Machine Learning models, including Large Language Models (LLMs). This is an exciting opportunity to be at the forefront of the AI revolution, contributing to the development of sustainable and transformative cloud infrastructure.

Day in the Life

As a Staff Software Engineer, your day-to-day activities will be diverse and challenging. You will be involved in:

  • Contributing to the development of fine-tuning systems for large foundation models, including multi-node orchestration, checkpointing, and failure recovery.
  • Implementing and maintaining end-to-end training pipelines for Large Language Models.
  • Developing distillation and reinforcement learning pipelines for preference and policy optimization.
  • Building and maintaining agent execution infrastructure.
  • Implementing features for dataset, model, and experiment management.
  • Collaborating with Principal Engineers, product, business, and platform teams.
  • Contributing to architectural decisions related to training runtimes, scheduling, and storage.
  • Engaging with the open-source LLM ecosystem.

Why San Francisco, CA?

San Francisco is a global hub for technology and innovation. Working in San Francisco provides access to:

  • A vibrant tech community with numerous networking opportunities.
  • A highly skilled talent pool.
  • Proximity to leading research institutions and universities.
  • A diverse and culturally rich environment.
  • Access to venture capital and investment.

Career Path

This role offers significant opportunities for career growth within Crusoe Energy Systems. Potential career paths include:

  • Principal Engineer: Lead technical initiatives and drive architectural decisions.
  • Engineering Manager: Manage and mentor a team of software engineers.
  • Technical Lead: Provide technical guidance and leadership on complex projects.
  • Architect: Design and implement scalable and robust systems.

Salary & Benefits

The estimated salary range for this role in San Francisco, CA is $200,000 - $300,000 per year. In addition to competitive pay, Crusoe Energy Systems offers a comprehensive benefits package, including:

  • Restricted Stock Units in a fast-growing company.
  • Health insurance (HDHP and PPO options).
  • Vision and dental insurance.
  • Employer contributions to health savings account (HSA).
  • 401(k) with employer match.
  • Generous paid time off and holiday schedule.
  • Paid parental leave.
  • Professional development opportunities.
  • Employee assistance program (EAP).
  • Wellness programs.
  • Commuter benefits.
  • Flexible spending accounts (FSA).
  • Life and disability insurance.

Crusoe Culture

Crusoe Energy Systems fosters a culture of innovation, collaboration, and sustainability. We are committed to:

  • Driving meaningful innovation in the AI and energy sectors.
  • Making a tangible impact on the world.
  • Creating a responsible and transformative cloud infrastructure.
  • Supporting employee growth and development.
  • Promoting a diverse and inclusive workplace.

How to Apply

Interested candidates are encouraged to apply online through the Crusoe Energy Systems careers page. Please submit your resume and a cover letter highlighting your relevant experience and qualifications.

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence.

  2. What will I be working on in this role?

    You will be contributing to the development of a comprehensive platform for managing the application development lifecycle, focusing on Machine Learning models and LLMs.

  3. What skills are required for this role?

    Strong engineering fundamentals, experience with AI/ML (Generative AI, LLMs), and proficiency in Golang or Python are preferred.

  4. What are the benefits of working at Crusoe?

    Crusoe offers competitive pay, stock options, comprehensive health benefits, and opportunities for professional development.

  5. What is the company culture like?

    Crusoe fosters a culture of innovation, collaboration, and sustainability.

  6. What opportunities are there for career growth?

    Potential career paths include Principal Engineer, Engineering Manager, Technical Lead, and Architect.

  7. How do I apply for this position?

    Apply online through the Crusoe Energy Systems careers page.

  8. Is this a remote position?

    This position is located in San Francisco, CA.

  9. What is the interview process like?

    The interview process typically includes a phone screening, technical interview, and interviews with team members and hiring managers.

  10. What are Crusoe's core values?

    Crusoe values innovation, sustainability, collaboration, and making a positive impact on the world.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

220,000 - 330,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Machine Learningintermediate
  • Generative AIintermediate
  • AI Infrastructureintermediate
  • Model Trainingintermediate
  • Model Inferenceintermediate
  • Fine-tuningintermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • Distillationintermediate
  • Reinforcement Learningintermediate
  • Preference Optimizationintermediate
  • Policy Optimizationintermediate
  • Reward Modelingintermediate
  • Agent Execution Infrastructureintermediate
  • Dataset Managementintermediate
  • Model Managementintermediate
  • Experiment Managementintermediate
  • Versioningintermediate
  • Lineageintermediate
  • Evaluationintermediate
  • Reproducible Fine-tuningintermediate
  • Cloud-based Servicesintermediate
  • Elastic Computeintermediate
  • Object Storageintermediate
  • Virtual Private Networksintermediate
  • Managed Databaseintermediate
  • Golangintermediate
  • Pythonintermediate
  • PyTorchintermediate
  • GPU Systemsintermediate
  • Inference Frameworksintermediate
  • Software Engineeringintermediate
  • API Designintermediate
  • System Architectureintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. (experience)
  • 8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function (experience)
  • Proven track record of delivering production features on time. (experience)
  • Experience in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed database, etc. (experience)
  • Experience with Generative AI (Large Language Models, Multimodal). (experience)
  • Experience with AI infrastructure, including training, inference. (experience)
  • Proficiency in Golang or Python for large-scale, production-level services (Preferred). (experience)
  • Experience contributing to open-source AI projects (Preferred). (experience)
  • Experience with performance optimizations on GPU systems and inference frameworks (Preferred). (experience)
  • Experience working with PyTorch (Preferred) (experience)
  • Experience with training and fine-tuning LLMs (Preferred) (experience)
  • Proactive and collaborative approach with the ability to work independently. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Passion for building cutting-edge AI products and solving challenging technical problems. (experience)

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.
  • Implement and contribute to the design of core systems.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve technical issues.
  • Stay up-to-date with the latest advancements in AI/ML and cloud technologies.

Benefits

  • general: Industry competitive pay
  • general: Restricted Stock Units in a fast growing, well-funded technology company
  • general: Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • general: Employer contributions to health savings account (HSA)
  • general: 401(k) with employer match
  • general: Generous paid time off and holiday schedule
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program (EAP)
  • general: Wellness programs
  • general: Commuter benefits
  • general: Flexible spending accounts (FSA)
  • general: Life insurance
  • general: Disability insurance
  • general: Opportunity to work on cutting-edge technology in a rapidly growing company
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the future of energy and AI
  • general: Stock options
  • general: Performance bonuses
  • general: Relocation assistance (if applicable)

Target Your Resume for "Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!" , Crusoe

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AIMLLLMSoftware EngineerSan FranciscoFull-timeMid-Senior LevelModel LifecycleGenerative AIStaff Software EngineerMachine LearningLarge Language ModelsAI InfrastructureModel TrainingModel InferenceCaliforniaCrusoe Energy SystemsCloud ComputingSoftware EngineeringGolangPythonPyTorchGPUDeep LearningNatural Language ProcessingMLOpsAI PlatformModel ManagementAI CareerArtificial IntelligenceSFTPEFTLoRAadaptersGreen TechAI InfrastructureCloudEngineering

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Crusoe logo

Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!

Crusoe

Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Staff Software Engineer, Model Lifecycle at Crusoe Energy Systems

Role Overview

Crusoe Energy Systems is on a mission to accelerate the abundance of energy and intelligence. We are building the infrastructure to power a world where people can create ambitiously with AI without sacrificing scale, speed, or sustainability. As a Staff Software Engineer on the Model Lifecycle team, you will play a pivotal role in developing a comprehensive platform for managing the entire application development lifecycle, with a particular emphasis on leveraging Machine Learning models, including Large Language Models (LLMs). This is an exciting opportunity to be at the forefront of the AI revolution, contributing to the development of sustainable and transformative cloud infrastructure.

Day in the Life

As a Staff Software Engineer, your day-to-day activities will be diverse and challenging. You will be involved in:

  • Contributing to the development of fine-tuning systems for large foundation models, including multi-node orchestration, checkpointing, and failure recovery.
  • Implementing and maintaining end-to-end training pipelines for Large Language Models.
  • Developing distillation and reinforcement learning pipelines for preference and policy optimization.
  • Building and maintaining agent execution infrastructure.
  • Implementing features for dataset, model, and experiment management.
  • Collaborating with Principal Engineers, product, business, and platform teams.
  • Contributing to architectural decisions related to training runtimes, scheduling, and storage.
  • Engaging with the open-source LLM ecosystem.

Why San Francisco, CA?

San Francisco is a global hub for technology and innovation. Working in San Francisco provides access to:

  • A vibrant tech community with numerous networking opportunities.
  • A highly skilled talent pool.
  • Proximity to leading research institutions and universities.
  • A diverse and culturally rich environment.
  • Access to venture capital and investment.

Career Path

This role offers significant opportunities for career growth within Crusoe Energy Systems. Potential career paths include:

  • Principal Engineer: Lead technical initiatives and drive architectural decisions.
  • Engineering Manager: Manage and mentor a team of software engineers.
  • Technical Lead: Provide technical guidance and leadership on complex projects.
  • Architect: Design and implement scalable and robust systems.

Salary & Benefits

The estimated salary range for this role in San Francisco, CA is $200,000 - $300,000 per year. In addition to competitive pay, Crusoe Energy Systems offers a comprehensive benefits package, including:

  • Restricted Stock Units in a fast-growing company.
  • Health insurance (HDHP and PPO options).
  • Vision and dental insurance.
  • Employer contributions to health savings account (HSA).
  • 401(k) with employer match.
  • Generous paid time off and holiday schedule.
  • Paid parental leave.
  • Professional development opportunities.
  • Employee assistance program (EAP).
  • Wellness programs.
  • Commuter benefits.
  • Flexible spending accounts (FSA).
  • Life and disability insurance.

Crusoe Culture

Crusoe Energy Systems fosters a culture of innovation, collaboration, and sustainability. We are committed to:

  • Driving meaningful innovation in the AI and energy sectors.
  • Making a tangible impact on the world.
  • Creating a responsible and transformative cloud infrastructure.
  • Supporting employee growth and development.
  • Promoting a diverse and inclusive workplace.

How to Apply

Interested candidates are encouraged to apply online through the Crusoe Energy Systems careers page. Please submit your resume and a cover letter highlighting your relevant experience and qualifications.

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence.

  2. What will I be working on in this role?

    You will be contributing to the development of a comprehensive platform for managing the application development lifecycle, focusing on Machine Learning models and LLMs.

  3. What skills are required for this role?

    Strong engineering fundamentals, experience with AI/ML (Generative AI, LLMs), and proficiency in Golang or Python are preferred.

  4. What are the benefits of working at Crusoe?

    Crusoe offers competitive pay, stock options, comprehensive health benefits, and opportunities for professional development.

  5. What is the company culture like?

    Crusoe fosters a culture of innovation, collaboration, and sustainability.

  6. What opportunities are there for career growth?

    Potential career paths include Principal Engineer, Engineering Manager, Technical Lead, and Architect.

  7. How do I apply for this position?

    Apply online through the Crusoe Energy Systems careers page.

  8. Is this a remote position?

    This position is located in San Francisco, CA.

  9. What is the interview process like?

    The interview process typically includes a phone screening, technical interview, and interviews with team members and hiring managers.

  10. What are Crusoe's core values?

    Crusoe values innovation, sustainability, collaboration, and making a positive impact on the world.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

220,000 - 330,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Machine Learningintermediate
  • Generative AIintermediate
  • AI Infrastructureintermediate
  • Model Trainingintermediate
  • Model Inferenceintermediate
  • Fine-tuningintermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • Distillationintermediate
  • Reinforcement Learningintermediate
  • Preference Optimizationintermediate
  • Policy Optimizationintermediate
  • Reward Modelingintermediate
  • Agent Execution Infrastructureintermediate
  • Dataset Managementintermediate
  • Model Managementintermediate
  • Experiment Managementintermediate
  • Versioningintermediate
  • Lineageintermediate
  • Evaluationintermediate
  • Reproducible Fine-tuningintermediate
  • Cloud-based Servicesintermediate
  • Elastic Computeintermediate
  • Object Storageintermediate
  • Virtual Private Networksintermediate
  • Managed Databaseintermediate
  • Golangintermediate
  • Pythonintermediate
  • PyTorchintermediate
  • GPU Systemsintermediate
  • Inference Frameworksintermediate
  • Software Engineeringintermediate
  • API Designintermediate
  • System Architectureintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. (experience)
  • 8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function (experience)
  • Proven track record of delivering production features on time. (experience)
  • Experience in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed database, etc. (experience)
  • Experience with Generative AI (Large Language Models, Multimodal). (experience)
  • Experience with AI infrastructure, including training, inference. (experience)
  • Proficiency in Golang or Python for large-scale, production-level services (Preferred). (experience)
  • Experience contributing to open-source AI projects (Preferred). (experience)
  • Experience with performance optimizations on GPU systems and inference frameworks (Preferred). (experience)
  • Experience working with PyTorch (Preferred) (experience)
  • Experience with training and fine-tuning LLMs (Preferred) (experience)
  • Proactive and collaborative approach with the ability to work independently. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Passion for building cutting-edge AI products and solving challenging technical problems. (experience)

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.
  • Implement and contribute to the design of core systems.
  • Participate in code reviews and ensure code quality.
  • Troubleshoot and resolve technical issues.
  • Stay up-to-date with the latest advancements in AI/ML and cloud technologies.

Benefits

  • general: Industry competitive pay
  • general: Restricted Stock Units in a fast growing, well-funded technology company
  • general: Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • general: Employer contributions to health savings account (HSA)
  • general: 401(k) with employer match
  • general: Generous paid time off and holiday schedule
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program (EAP)
  • general: Wellness programs
  • general: Commuter benefits
  • general: Flexible spending accounts (FSA)
  • general: Life insurance
  • general: Disability insurance
  • general: Opportunity to work on cutting-edge technology in a rapidly growing company
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the future of energy and AI
  • general: Stock options
  • general: Performance bonuses
  • general: Relocation assistance (if applicable)

Target Your Resume for "Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now!" , Crusoe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMLLLMSoftware EngineerSan FranciscoFull-timeMid-Senior LevelModel LifecycleGenerative AIStaff Software EngineerMachine LearningLarge Language ModelsAI InfrastructureModel TrainingModel InferenceCaliforniaCrusoe Energy SystemsCloud ComputingSoftware EngineeringGolangPythonPyTorchGPUDeep LearningNatural Language ProcessingMLOpsAI PlatformModel ManagementAI CareerArtificial IntelligenceSFTPEFTLoRAadaptersGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, CA | Apply Now! @ Crusoe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.