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

Crusoe

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

full-timePosted: Feb 9, 2026

Job Description

Staff Software Engineer, Model LifeCycle at Crusoe

Crusoe is on a mission to accelerate the abundance of energy and intelligence, crafting the engine that powers 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 be at the forefront of this revolution, 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).

Role Overview

In this role, you will be instrumental in developing and maintaining the infrastructure that supports the training, fine-tuning, and deployment of cutting-edge AI models. You will work closely with principal engineers, product managers, and business stakeholders to define the core abstractions and APIs of the system. Your contributions will directly impact the efficiency, scalability, and sustainability of Crusoe's AI initiatives.

A Day in the Life

Your day-to-day activities will involve a mix of designing, implementing, and maintaining critical components of the model lifecycle platform. This includes:

  • Developing and optimizing training pipelines for Large Language Models.
  • Implementing features for dataset, model, and experiment management, including versioning, lineage, and evaluation.
  • Contributing to architectural decisions around training runtimes, scheduling, and storage.
  • Collaborating with other engineers to integrate new features and improve existing systems.
  • Engaging with the open-source LLM ecosystem to stay abreast of the latest developments and contribute back to the community.
  • Participating in code reviews and ensuring code quality.
  • Troubleshooting and resolving production issues.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering a vibrant ecosystem of startups, established companies, and research institutions. Located in the heart of Silicon Valley, Crusoe’s San Francisco office provides access to a wealth of talent, resources, and opportunities for professional growth. The city's diverse culture, world-class dining, and stunning natural beauty make it an attractive place to live and work.

Career Path

This role offers significant opportunities for career advancement within Crusoe. As a Staff Software Engineer, you can progress to a Principal Engineer role, where you will take on greater responsibility for architectural decisions and technical leadership. You can also pursue management opportunities, leading a team of engineers and shaping the direction of the Model LifeCycle platform. Crusoe is committed to providing its employees with the resources and support they need to achieve their career goals.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Industry competitive pay: The estimated salary range for this role in San Francisco is $180,000 - $250,000 per year, commensurate with experience and qualifications.
  • Restricted Stock Units: As a valuable member of the Crusoe team, you'll receive Restricted Stock Units (RSUs) in our fast-growing, well-funded technology company, aligning your success with the company's long-term growth.
  • Comprehensive Health Insurance: Choose from a variety of health insurance package options, including HDHP and PPO plans, with vision and dental coverage available for you and your dependents, ensuring your well-being is a top priority.
  • Employer Contributions: Crusoe cares about your financial health, offering employer contributions to Health Savings Accounts (HSA) to help you manage healthcare expenses and plan for the future.
  • Retirement Savings: Plan for your future with Crusoe's 401(k) plan, featuring a company match to help you maximize your retirement savings and secure your long-term financial goals.
  • Generous Paid Time Off: Recharge and rejuvenate with our generous paid time off and holiday schedule, allowing you to maintain a healthy work-life balance and pursue your passions outside of work.
  • Parental Leave: Crusoe supports growing families with paid parental leave, enabling you to bond with your new child and navigate the joys and challenges of parenthood with peace of mind.
  • Professional Development: Invest in your career growth with professional development opportunities, including training programs, conferences, and workshops, empowering you to enhance your skills and stay at the forefront of your field.
  • Employee Assistance Program: Access confidential support and resources through our Employee Assistance Program (EAP), providing guidance and assistance for personal and professional challenges, ensuring you have the support you need to thrive.
  • Company Events: Connect with colleagues and build lasting relationships through company-sponsored events and activities, fostering a sense of community and camaraderie within the Crusoe team.
  • Commuter Benefits: Save on transportation costs with commuter benefits, making your daily commute more convenient and affordable, whether you prefer public transit, ride-sharing, or other options.
  • Well-Stocked Kitchen: Enjoy complimentary snacks and drinks in our well-stocked kitchen, keeping you energized and focused throughout the day.

Crusoe Culture

Crusoe is a company built on innovation, collaboration, and a passion for solving challenging problems. We foster a culture of intellectual curiosity, where employees are encouraged to experiment, learn, and grow. We value diversity and inclusion, and we are committed to creating a workplace where everyone feels welcome and respected. Our team is made up of talented individuals from a variety of backgrounds, all united by a shared vision of a sustainable and abundant future.

How to Apply

If you are a highly motivated and skilled software engineer with a passion for AI and a desire to make a difference, we encourage you to apply for the Staff Software Engineer, Model LifeCycle position at Crusoe. Please submit your resume and a cover letter outlining your qualifications and experience through our online application portal.

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 as a Staff Software Engineer, Model LifeCycle?

    You will be 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).

  3. What skills and experience are required for this role?

    We are looking for candidates with strong engineering fundamentals, experience with Generative AI and AI infrastructure, proficiency in Golang or Python, and a passion for building cutting-edge AI products.

  4. What are the benefits of working at Crusoe?

    Crusoe offers a competitive salary and benefits package, including health insurance, 401(k), paid time off, and professional development opportunities.

  5. What is the company culture like at Crusoe?

    Crusoe fosters a culture of innovation, collaboration, and intellectual curiosity.

  6. What is the career path for this role?

    As a Staff Software Engineer, you can progress to a Principal Engineer role or pursue management opportunities.

  7. How does Crusoe contribute to sustainability?

    Crusoe is committed to using energy responsibly and developing sustainable solutions for the AI industry.

  8. What is the work environment like in the San Francisco office?

    The San Francisco office is located in a vibrant tech hub and offers a collaborative and supportive work environment.

  9. What kind of impact can I have in this role?

    You will have a direct impact on the efficiency, scalability, and sustainability of Crusoe's AI initiatives.

  10. How can I apply for this position?

    Please submit your resume and a cover letter through our online application portal.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 275,000 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
  • Generative AIintermediate
  • AI Infrastructureintermediate
  • Model Trainingintermediate
  • Model Inferenceintermediate
  • Fine-tuningintermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • End-to-end Training Pipelinesintermediate
  • Distillation Pipelinesintermediate
  • Reinforcement Learning Pipelinesintermediate
  • 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

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. (experience)
  • Experience contributing to open-source AI projects. (experience)
  • Experience with performance optimizations on GPU systems and inference frameworks. (experience)
  • Experience working with PyTorch. (experience)
  • Experience with training and fine-tuning LLMs. (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)
  • Experience with fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. (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.
  • Lead technical projects from inception to completion.
  • Mentor junior engineers and provide technical guidance.
  • Participate in code reviews and ensure code quality.

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 company match
  • general: Generous paid time off and holiday schedule
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program (EAP)
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Stocked kitchen with snacks and drinks
  • general: Opportunity to work on cutting-edge AI technology
  • general: Collaborative and supportive work environment
  • general: Making a tangible impact on the future of AI and sustainable technology.

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

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Tags & Categories

Software EngineerAIMachine LearningLarge Language ModelsSan FranciscoFull-timeStaff Software EngineerModel LifeCycleLLMsGenerative AIAI InfrastructureModel TrainingModel InferenceCaliforniaCloud ComputingDistributed SystemsDeep LearningPyTorchTensorFlowKubernetesDockerGPUModel OptimizationAI PlatformCrusoe EnergySustainable AIGreen ComputingSoftware EngineeringArtificial IntelligenceGreen TechAI InfrastructureCloudEngineering

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Crusoe logo

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

Crusoe

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

full-timePosted: Feb 9, 2026

Job Description

Staff Software Engineer, Model LifeCycle at Crusoe

Crusoe is on a mission to accelerate the abundance of energy and intelligence, crafting the engine that powers 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 be at the forefront of this revolution, 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).

Role Overview

In this role, you will be instrumental in developing and maintaining the infrastructure that supports the training, fine-tuning, and deployment of cutting-edge AI models. You will work closely with principal engineers, product managers, and business stakeholders to define the core abstractions and APIs of the system. Your contributions will directly impact the efficiency, scalability, and sustainability of Crusoe's AI initiatives.

A Day in the Life

Your day-to-day activities will involve a mix of designing, implementing, and maintaining critical components of the model lifecycle platform. This includes:

  • Developing and optimizing training pipelines for Large Language Models.
  • Implementing features for dataset, model, and experiment management, including versioning, lineage, and evaluation.
  • Contributing to architectural decisions around training runtimes, scheduling, and storage.
  • Collaborating with other engineers to integrate new features and improve existing systems.
  • Engaging with the open-source LLM ecosystem to stay abreast of the latest developments and contribute back to the community.
  • Participating in code reviews and ensuring code quality.
  • Troubleshooting and resolving production issues.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering a vibrant ecosystem of startups, established companies, and research institutions. Located in the heart of Silicon Valley, Crusoe’s San Francisco office provides access to a wealth of talent, resources, and opportunities for professional growth. The city's diverse culture, world-class dining, and stunning natural beauty make it an attractive place to live and work.

Career Path

This role offers significant opportunities for career advancement within Crusoe. As a Staff Software Engineer, you can progress to a Principal Engineer role, where you will take on greater responsibility for architectural decisions and technical leadership. You can also pursue management opportunities, leading a team of engineers and shaping the direction of the Model LifeCycle platform. Crusoe is committed to providing its employees with the resources and support they need to achieve their career goals.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Industry competitive pay: The estimated salary range for this role in San Francisco is $180,000 - $250,000 per year, commensurate with experience and qualifications.
  • Restricted Stock Units: As a valuable member of the Crusoe team, you'll receive Restricted Stock Units (RSUs) in our fast-growing, well-funded technology company, aligning your success with the company's long-term growth.
  • Comprehensive Health Insurance: Choose from a variety of health insurance package options, including HDHP and PPO plans, with vision and dental coverage available for you and your dependents, ensuring your well-being is a top priority.
  • Employer Contributions: Crusoe cares about your financial health, offering employer contributions to Health Savings Accounts (HSA) to help you manage healthcare expenses and plan for the future.
  • Retirement Savings: Plan for your future with Crusoe's 401(k) plan, featuring a company match to help you maximize your retirement savings and secure your long-term financial goals.
  • Generous Paid Time Off: Recharge and rejuvenate with our generous paid time off and holiday schedule, allowing you to maintain a healthy work-life balance and pursue your passions outside of work.
  • Parental Leave: Crusoe supports growing families with paid parental leave, enabling you to bond with your new child and navigate the joys and challenges of parenthood with peace of mind.
  • Professional Development: Invest in your career growth with professional development opportunities, including training programs, conferences, and workshops, empowering you to enhance your skills and stay at the forefront of your field.
  • Employee Assistance Program: Access confidential support and resources through our Employee Assistance Program (EAP), providing guidance and assistance for personal and professional challenges, ensuring you have the support you need to thrive.
  • Company Events: Connect with colleagues and build lasting relationships through company-sponsored events and activities, fostering a sense of community and camaraderie within the Crusoe team.
  • Commuter Benefits: Save on transportation costs with commuter benefits, making your daily commute more convenient and affordable, whether you prefer public transit, ride-sharing, or other options.
  • Well-Stocked Kitchen: Enjoy complimentary snacks and drinks in our well-stocked kitchen, keeping you energized and focused throughout the day.

Crusoe Culture

Crusoe is a company built on innovation, collaboration, and a passion for solving challenging problems. We foster a culture of intellectual curiosity, where employees are encouraged to experiment, learn, and grow. We value diversity and inclusion, and we are committed to creating a workplace where everyone feels welcome and respected. Our team is made up of talented individuals from a variety of backgrounds, all united by a shared vision of a sustainable and abundant future.

How to Apply

If you are a highly motivated and skilled software engineer with a passion for AI and a desire to make a difference, we encourage you to apply for the Staff Software Engineer, Model LifeCycle position at Crusoe. Please submit your resume and a cover letter outlining your qualifications and experience through our online application portal.

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 as a Staff Software Engineer, Model LifeCycle?

    You will be 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).

  3. What skills and experience are required for this role?

    We are looking for candidates with strong engineering fundamentals, experience with Generative AI and AI infrastructure, proficiency in Golang or Python, and a passion for building cutting-edge AI products.

  4. What are the benefits of working at Crusoe?

    Crusoe offers a competitive salary and benefits package, including health insurance, 401(k), paid time off, and professional development opportunities.

  5. What is the company culture like at Crusoe?

    Crusoe fosters a culture of innovation, collaboration, and intellectual curiosity.

  6. What is the career path for this role?

    As a Staff Software Engineer, you can progress to a Principal Engineer role or pursue management opportunities.

  7. How does Crusoe contribute to sustainability?

    Crusoe is committed to using energy responsibly and developing sustainable solutions for the AI industry.

  8. What is the work environment like in the San Francisco office?

    The San Francisco office is located in a vibrant tech hub and offers a collaborative and supportive work environment.

  9. What kind of impact can I have in this role?

    You will have a direct impact on the efficiency, scalability, and sustainability of Crusoe's AI initiatives.

  10. How can I apply for this position?

    Please submit your resume and a cover letter through our online application portal.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 275,000 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
  • Generative AIintermediate
  • AI Infrastructureintermediate
  • Model Trainingintermediate
  • Model Inferenceintermediate
  • Fine-tuningintermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • End-to-end Training Pipelinesintermediate
  • Distillation Pipelinesintermediate
  • Reinforcement Learning Pipelinesintermediate
  • 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

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. (experience)
  • Experience contributing to open-source AI projects. (experience)
  • Experience with performance optimizations on GPU systems and inference frameworks. (experience)
  • Experience working with PyTorch. (experience)
  • Experience with training and fine-tuning LLMs. (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)
  • Experience with fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling. (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.
  • Lead technical projects from inception to completion.
  • Mentor junior engineers and provide technical guidance.
  • Participate in code reviews and ensure code quality.

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 company match
  • general: Generous paid time off and holiday schedule
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program (EAP)
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Stocked kitchen with snacks and drinks
  • general: Opportunity to work on cutting-edge AI technology
  • general: Collaborative and supportive work environment
  • general: Making a tangible impact on the future of AI and sustainable technology.

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

Get personalized recommendations to optimize your resume specifically for Staff Software Engineer, Model LifeCycle Careers at Crusoe - San Francisco, California | 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, California | 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

Software EngineerAIMachine LearningLarge Language ModelsSan FranciscoFull-timeStaff Software EngineerModel LifeCycleLLMsGenerative AIAI InfrastructureModel TrainingModel InferenceCaliforniaCloud ComputingDistributed SystemsDeep LearningPyTorchTensorFlowKubernetesDockerGPUModel OptimizationAI PlatformCrusoe EnergySustainable AIGreen ComputingSoftware EngineeringArtificial IntelligenceGreen TechAI InfrastructureCloudEngineering

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.