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Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Senior Software Engineer, Managed AI - Model Lifecycle at Crusoe

Crusoe Energy is on a mission to align the future of energy with the future of computing. We build innovative solutions that reduce both the costs and the environmental impact of the world’s expanding digital infrastructure. By deploying our mobile data centers to capture stranded or underutilized energy sources, we create a symbiotic relationship between the energy and computing industries, unlocking new economic opportunities and driving a more sustainable future.

As a Senior Software Engineer on the Managed AI - Model Lifecycle team, you will be at the forefront of building a cutting-edge platform for managing the entire application development lifecycle, with a strong emphasis on Machine Learning models, particularly Large Language Models (LLMs). You will play a crucial role in designing, developing, and maintaining the infrastructure and systems that empower Crusoe to deliver sustainable and scalable AI solutions.

Role Overview

This role offers an exciting opportunity to contribute to the AI revolution by building sustainable technology solutions. You will be responsible for implementing and maintaining systems for fine-tuning large foundation models, developing end-to-end training pipelines, and creating core agent execution infrastructure. Your work will directly impact Crusoe's ability to provide responsible and transformative cloud infrastructure for AI.

A Day in the Life

Here’s what a typical day might look like:

  • Participate in daily stand-up meetings to discuss progress and roadblocks.
  • Collaborate with senior engineers and product managers to refine system requirements.
  • Write and test code for fine-tuning large language models.
  • Debug and troubleshoot issues in the training pipelines.
  • Implement new features for dataset and model management.
  • Engage in code reviews to ensure code quality and maintainability.
  • Research and experiment with new open-source LLM technologies.
  • Document your work and share knowledge with the team.
  • Attend technical discussions on training runtimes and model lifecycle management.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Being located in San Francisco provides access to a vibrant AI community, cutting-edge research institutions, and a diverse talent pool. The city's culture of innovation and collaboration makes it an ideal environment for building and scaling AI solutions. Furthermore, Crusoe's presence in San Francisco allows for strategic partnerships and access to key industry events and resources.

Career Path

This Senior Software Engineer role provides a clear path for career advancement within Crusoe. You can progress to roles such as Principal Engineer, Architect, or Engineering Manager. The company is committed to providing opportunities for continuous learning and development, allowing you to expand your skills and expertise in AI and cloud infrastructure.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Industry competitive pay
  • Restricted Stock Units in a fast-growing, well-funded technology company
  • Comprehensive health insurance options
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc services
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We are passionate about solving challenging problems and creating a positive impact on the world. We value teamwork, open communication, and a commitment to excellence. Our employees are empowered to take ownership of their work and contribute to the company's mission. We are dedicated to creating a diverse and inclusive workplace where everyone feels valued and respected.

How to Apply

Interested in joining the Crusoe team? Apply online through our careers page. Please submit your resume and a cover letter highlighting your relevant experience and skills. We look forward to hearing from you!

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence by crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

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

    You will be working on implementing and maintaining systems for fine-tuning large foundation models, developing end-to-end training pipelines, and creating core agent execution infrastructure.

  3. What skills are required for this role?

    Essential skills include experience with Machine Learning, Large Language Models, cloud-based services, and programming languages such as GoLang or Python.

  4. What qualifications are preferred?

    Preferred qualifications include proficiency in Golang or Python, familiarity with PyTorch, and some experience with training and fine-tuning LLMs.

  5. What are the benefits of working at Crusoe?

    Crusoe offers a competitive salary, restricted stock units, comprehensive health insurance, paid parental leave, and a 401(k) match, among other benefits.

  6. What is the company culture like?

    Crusoe fosters a culture of innovation, collaboration, and sustainability, valuing teamwork, open communication, and a commitment to excellence.

  7. What opportunities for career advancement are available?

    This role provides a clear path for career advancement within Crusoe, with opportunities to progress to roles such as Principal Engineer, Architect, or Engineering Manager.

  8. How does Crusoe contribute to sustainability?

    Crusoe deploys mobile data centers to capture stranded or underutilized energy sources, creating a symbiotic relationship between the energy and computing industries.

  9. What is the work environment like?

    The work environment is collaborative and fast-paced, with a focus on innovation and problem-solving.

  10. How can I apply for this position?

    You can apply online through our careers page by submitting your resume and a cover letter.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 286,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning (ML)intermediate
  • Large Language Models (LLMs)intermediate
  • Generative AIintermediate
  • Model Fine-tuning (SFT, PEFT, LoRA, Adapters)intermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • Training Pipelinesintermediate
  • 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 Services (Compute, Storage, Networking)intermediate
  • GoLangintermediate
  • Pythonintermediate
  • PyTorchintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. (experience)
  • 4-5+ years of industry experience with a demonstrated history of consistent success. (experience)
  • Experience delivering production-ready features. (experience)
  • Familiarity with essential cloud-based services (e.g., compute, storage, networking). (experience)
  • Familiarity with Generative AI (Large Language Models, Multimodal). (experience)
  • Experience with AI infrastructure components (training, inference). (experience)
  • Proficiency in Golang or Python for production services (Preferred). (experience)
  • Familiarity with PyTorch (Preferred). (experience)
  • Some experience with training and fine-tuning LLMs (Preferred). (experience)
  • Proactive and collaborative approach. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Passion for building AI products and solving technical problems. (experience)

Responsibilities

  • Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration.
  • Implement checkpointing, failure recovery, and cost-efficient scaling for model fine-tuning systems.
  • 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.
  • Focus on versioning, lineage, evaluation, and reproducible fine-tuning.
  • Work closely with Senior Engineers and Principal Engineers to implement system abstractions and APIs.
  • Work closely with product and platform teams to implement system abstractions and APIs.
  • Contribute to technical discussions on training runtimes, scheduling, and storage.
  • Contribute to technical discussions on model lifecycle management.
  • Engage with the open-source LLM ecosystem.
  • Assume significant implementation ownership for core system components.
  • Maintain and improve existing software systems.
  • Participate in code reviews and contribute to improving 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 HSA accounts
  • general: Paid Parental Leave
  • general: Paid life insurance, short-term and long-term disability
  • general: Teladoc
  • general: 401(k) with a 100% match up to 4% of salary
  • general: Generous paid time off and holiday schedule
  • general: Cell phone reimbursement
  • general: Tuition reimbursement
  • general: Professional Development Opportunities
  • general: Employee Assistance Program (EAP)
  • general: Wellness Programs

Target Your Resume for "Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

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Tags & Categories

Software EngineeringArtificial IntelligenceMachine LearningCloud ComputingSan FranciscoFull-timeSenior Software EngineerManaged AIModel LifecycleLarge Language ModelsLLMsAI InfrastructureTraining PipelinesFine-tuningGoLangPythonPyTorchCaliforniaCrusoe EnergyGenerative AIAI/MLDistributed SystemsModel DeploymentSustainable TechnologyRenewable EnergyData CentersStranded EnergyAI RevolutionOpen Source LLMAI Model LifecycleGreen TechAI InfrastructureCloudEngineering

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Crusoe logo

Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Senior Software Engineer, Managed AI - Model Lifecycle at Crusoe

Crusoe Energy is on a mission to align the future of energy with the future of computing. We build innovative solutions that reduce both the costs and the environmental impact of the world’s expanding digital infrastructure. By deploying our mobile data centers to capture stranded or underutilized energy sources, we create a symbiotic relationship between the energy and computing industries, unlocking new economic opportunities and driving a more sustainable future.

As a Senior Software Engineer on the Managed AI - Model Lifecycle team, you will be at the forefront of building a cutting-edge platform for managing the entire application development lifecycle, with a strong emphasis on Machine Learning models, particularly Large Language Models (LLMs). You will play a crucial role in designing, developing, and maintaining the infrastructure and systems that empower Crusoe to deliver sustainable and scalable AI solutions.

Role Overview

This role offers an exciting opportunity to contribute to the AI revolution by building sustainable technology solutions. You will be responsible for implementing and maintaining systems for fine-tuning large foundation models, developing end-to-end training pipelines, and creating core agent execution infrastructure. Your work will directly impact Crusoe's ability to provide responsible and transformative cloud infrastructure for AI.

A Day in the Life

Here’s what a typical day might look like:

  • Participate in daily stand-up meetings to discuss progress and roadblocks.
  • Collaborate with senior engineers and product managers to refine system requirements.
  • Write and test code for fine-tuning large language models.
  • Debug and troubleshoot issues in the training pipelines.
  • Implement new features for dataset and model management.
  • Engage in code reviews to ensure code quality and maintainability.
  • Research and experiment with new open-source LLM technologies.
  • Document your work and share knowledge with the team.
  • Attend technical discussions on training runtimes and model lifecycle management.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Being located in San Francisco provides access to a vibrant AI community, cutting-edge research institutions, and a diverse talent pool. The city's culture of innovation and collaboration makes it an ideal environment for building and scaling AI solutions. Furthermore, Crusoe's presence in San Francisco allows for strategic partnerships and access to key industry events and resources.

Career Path

This Senior Software Engineer role provides a clear path for career advancement within Crusoe. You can progress to roles such as Principal Engineer, Architect, or Engineering Manager. The company is committed to providing opportunities for continuous learning and development, allowing you to expand your skills and expertise in AI and cloud infrastructure.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Industry competitive pay
  • Restricted Stock Units in a fast-growing, well-funded technology company
  • Comprehensive health insurance options
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc services
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We are passionate about solving challenging problems and creating a positive impact on the world. We value teamwork, open communication, and a commitment to excellence. Our employees are empowered to take ownership of their work and contribute to the company's mission. We are dedicated to creating a diverse and inclusive workplace where everyone feels valued and respected.

How to Apply

Interested in joining the Crusoe team? Apply online through our careers page. Please submit your resume and a cover letter highlighting your relevant experience and skills. We look forward to hearing from you!

FAQ

  1. What is Crusoe's mission?

    Crusoe's mission is to accelerate the abundance of energy and intelligence by crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

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

    You will be working on implementing and maintaining systems for fine-tuning large foundation models, developing end-to-end training pipelines, and creating core agent execution infrastructure.

  3. What skills are required for this role?

    Essential skills include experience with Machine Learning, Large Language Models, cloud-based services, and programming languages such as GoLang or Python.

  4. What qualifications are preferred?

    Preferred qualifications include proficiency in Golang or Python, familiarity with PyTorch, and some experience with training and fine-tuning LLMs.

  5. What are the benefits of working at Crusoe?

    Crusoe offers a competitive salary, restricted stock units, comprehensive health insurance, paid parental leave, and a 401(k) match, among other benefits.

  6. What is the company culture like?

    Crusoe fosters a culture of innovation, collaboration, and sustainability, valuing teamwork, open communication, and a commitment to excellence.

  7. What opportunities for career advancement are available?

    This role provides a clear path for career advancement within Crusoe, with opportunities to progress to roles such as Principal Engineer, Architect, or Engineering Manager.

  8. How does Crusoe contribute to sustainability?

    Crusoe deploys mobile data centers to capture stranded or underutilized energy sources, creating a symbiotic relationship between the energy and computing industries.

  9. What is the work environment like?

    The work environment is collaborative and fast-paced, with a focus on innovation and problem-solving.

  10. How can I apply for this position?

    You can apply online through our careers page by submitting your resume and a cover letter.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 286,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learning (ML)intermediate
  • Large Language Models (LLMs)intermediate
  • Generative AIintermediate
  • Model Fine-tuning (SFT, PEFT, LoRA, Adapters)intermediate
  • Multi-node Orchestrationintermediate
  • Checkpointingintermediate
  • Failure Recoveryintermediate
  • Cost-efficient Scalingintermediate
  • Training Pipelinesintermediate
  • 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 Services (Compute, Storage, Networking)intermediate
  • GoLangintermediate
  • Pythonintermediate
  • PyTorchintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. (experience)
  • 4-5+ years of industry experience with a demonstrated history of consistent success. (experience)
  • Experience delivering production-ready features. (experience)
  • Familiarity with essential cloud-based services (e.g., compute, storage, networking). (experience)
  • Familiarity with Generative AI (Large Language Models, Multimodal). (experience)
  • Experience with AI infrastructure components (training, inference). (experience)
  • Proficiency in Golang or Python for production services (Preferred). (experience)
  • Familiarity with PyTorch (Preferred). (experience)
  • Some experience with training and fine-tuning LLMs (Preferred). (experience)
  • Proactive and collaborative approach. (experience)
  • Strong communication and interpersonal skills. (experience)
  • Passion for building AI products and solving technical problems. (experience)

Responsibilities

  • Implement and maintain systems for fine-tuning large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration.
  • Implement checkpointing, failure recovery, and cost-efficient scaling for model fine-tuning systems.
  • 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.
  • Focus on versioning, lineage, evaluation, and reproducible fine-tuning.
  • Work closely with Senior Engineers and Principal Engineers to implement system abstractions and APIs.
  • Work closely with product and platform teams to implement system abstractions and APIs.
  • Contribute to technical discussions on training runtimes, scheduling, and storage.
  • Contribute to technical discussions on model lifecycle management.
  • Engage with the open-source LLM ecosystem.
  • Assume significant implementation ownership for core system components.
  • Maintain and improve existing software systems.
  • Participate in code reviews and contribute to improving 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 HSA accounts
  • general: Paid Parental Leave
  • general: Paid life insurance, short-term and long-term disability
  • general: Teladoc
  • general: 401(k) with a 100% match up to 4% of salary
  • general: Generous paid time off and holiday schedule
  • general: Cell phone reimbursement
  • general: Tuition reimbursement
  • general: Professional Development Opportunities
  • general: Employee Assistance Program (EAP)
  • general: Wellness Programs

Target Your Resume for "Senior Software Engineer, Managed AI - Model Lifecycle Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Managed AI - 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 "Senior Software Engineer, Managed AI - 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 EngineeringArtificial IntelligenceMachine LearningCloud ComputingSan FranciscoFull-timeSenior Software EngineerManaged AIModel LifecycleLarge Language ModelsLLMsAI InfrastructureTraining PipelinesFine-tuningGoLangPythonPyTorchCaliforniaCrusoe EnergyGenerative AIAI/MLDistributed SystemsModel DeploymentSustainable TechnologyRenewable EnergyData CentersStranded EnergyAI RevolutionOpen Source LLMAI Model LifecycleGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Senior Software Engineer, Managed AI - 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.