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

Crusoe

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

full-timePosted: Jan 30, 2026

Job Description

Crusoe: Senior Software Engineer, Managed AI - San Francisco, CA

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.

Role Overview

The Crusoe Cloud Managed AI team is seeking a highly motivated and experienced Senior Software Engineer to play a pivotal role in shaping the future of our next-generation AI inference platform. In this role, you will be responsible for the design, development, and scaling of core systems that power our AI services. You'll be at the forefront of building resilient, fault-tolerant queues, sophisticated model catalogs, and optimized scheduling mechanisms designed for maximum cost-effectiveness and performance. This is an exceptional opportunity to build and scale infrastructure capable of handling millions of API requests per second, serving thousands of customers globally.

From day one, you will own critical subsystems within our managed AI inference platform, directly contributing to the delivery of Large Language Models (LLMs) to a global audience. As a key member of our dynamic and rapidly expanding team, you will actively collaborate across functional areas, influencing the long-term strategic vision of the platform and contributing to the advancement of cutting-edge AI technologies. This position offers a unique chance to develop a high-performance AI product that is central to Crusoe's continued business expansion and success.

A Day in the Life

Your typical day as a Senior Software Engineer on the Managed AI team might involve:

  • Participating in design discussions to define the architecture of new features and improvements to existing systems.
  • Writing and testing code for core components of the AI inference platform, such as the request queue or model deployment service.
  • Collaborating with data scientists to optimize model performance and integration with the platform.
  • Working with product managers to translate user requirements into technical specifications.
  • Debugging and resolving production issues, ensuring high availability and performance.
  • Monitoring system performance and identifying areas for optimization.
  • Participating in code reviews to ensure code quality and adherence to best practices.
  • Researching and evaluating new technologies and techniques for improving the AI inference platform.
  • Mentoring junior engineers and sharing your expertise.
  • Attending team meetings to discuss progress and plan future work.

Why San Francisco/Sunnyvale?

Crusoe's presence in both San Francisco and Sunnyvale, CA places you at the epicenter of the tech world. This vibrant region offers:

  • Unparalleled Networking Opportunities: Connect with industry leaders, attend cutting-edge conferences, and collaborate with top talent from around the globe.
  • Access to Innovation: Be at the forefront of technological advancements, with access to the latest research, tools, and resources.
  • A Thriving Tech Community: Immerse yourself in a collaborative and supportive environment where innovation is fostered and celebrated.
  • Quality of Life: Enjoy the diverse culture, world-class cuisine, and stunning natural beauty that the San Francisco Bay Area has to offer.

Career Path

At Crusoe, we are committed to fostering the professional growth of our employees. The Senior Software Engineer role on the Managed AI team provides a strong foundation for career advancement. Potential career paths include:

  • Principal Engineer: Lead technical initiatives and provide guidance to other engineers.
  • Staff Engineer: Focus on architectural design and strategic planning.
  • Engineering Manager: Lead and manage a team of software engineers.
  • Technical Lead: Oversee the technical aspects of a specific project or product.

We encourage our employees to explore their interests and develop their skills, and we provide opportunities for training and mentorship to support their career goals.

Salary and Benefits

Crusoe offers a comprehensive compensation package that includes a competitive salary, health insurance, paid time off, and a retirement plan. We also offer a variety of other benefits, such as professional development opportunities and employee discounts. The estimated salary range for this position in San Francisco/Sunnyvale, CA is $180,000 - $250,000 per year, depending on experience and qualifications.

Crusoe Culture

At Crusoe, we believe in fostering a culture of innovation, collaboration, and respect. We are committed to creating a workplace where everyone feels valued and empowered to contribute their best work. We encourage our employees to be creative, take risks, and learn from their mistakes. We also believe in giving back to the community and supporting sustainable practices.

How to Apply

To apply for the Senior Software Engineer, Managed AI position, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant experience and skills, and to explain why you are interested in working at Crusoe.

FAQ

  1. What is Crusoe's mission?

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

  2. What does the Managed AI team do?

    The Managed AI team builds and operates a platform for AI inference, enabling customers to deploy and scale AI models.

  3. What are the key responsibilities of this role?

    The key responsibilities include designing and developing core infrastructure for the Managed AI platform, collaborating with cross-functional teams, and ensuring high availability and performance of AI services.

  4. What skills and qualifications are required for this role?

    The required skills and qualifications include an advanced degree in Computer Science or a related field, experience in distributed systems design and implementation, and proficiency in Go or Python.

  5. What is the career path for this role?

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

  6. What benefits does Crusoe offer?

    Crusoe offers a competitive salary and benefits package, including health insurance, paid time off, and a retirement plan.

  7. What is the company culture like?

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

  8. Where is this role located?

    This role is located in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence.

  9. What type of experience is beneficial for this role?

    Experience with Generative AI (Large Language Models, Multimodal) is highly beneficial.

  10. What are the working hours for this role?

    This is a full-time position that will require you to be present in the office. Specific working hours can be discussed during the interview process.

Locations

  • San Francisco, California, United States
  • Sunnyvale, 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

  • Distributed Systems Designintermediate
  • Cloud-Based Services (Elastic Compute, Object Storage, VPN, Managed Databases)intermediate
  • Container Runtimes (Kubernetes)intermediate
  • Microservices Architecturesintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • CI/CD Toolsintermediate
  • Generative AIintermediate
  • Large Language Models (LLMs)intermediate
  • Multimodal AIintermediate
  • Gointermediate
  • Pythonintermediate
  • Fault Toleranceintermediate
  • High Availability Systemsintermediate
  • Performance Optimizationintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or a related field. (experience)
  • Proven experience in distributed systems design and implementation. (experience)
  • Expertise in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed databases, etc. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Demonstrated experience in the software development cycle and familiarity with CI/CD tools. (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Proficiency in Go or Python (or similar language). (experience)
  • Experience designing and implementing systems with high availability, low latency, and fault tolerance. (experience)
  • Experience optimizing performance across all stages of the AI inference pipeline. (experience)
  • Strong problem-solving skills and attention to detail. (experience)
  • Excellent communication and collaboration skills. (experience)

Responsibilities

  • Design and develop core infrastructure for the Managed AI platform, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.
  • Build and optimize systems for high-volume AI inference, handling millions of API requests per second.
  • Develop and maintain core services for AI model deployment and management.
  • Collaborate with product managers, data scientists, and other engineers to define and deliver AI services.
  • Integrate with other Crusoe Cloud services to provide a seamless user experience.
  • Collaborate with research and development teams to explore and implement new AI technologies.
  • Ensure high availability and performance of AI services.
  • Design and implement systems with high availability, low latency, and fault tolerance.
  • Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling.
  • Continuously monitor and improve the performance and reliability of AI services.
  • Lead the design and implementation of core systems for our AI services.
  • Shape the architecture and scalability of our next-generation AI inference platform.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on cutting-edge AI technologies.
  • general: Be a part of a dynamic, fast-growing team.
  • general: Collaborate cross-functionally with talented individuals.
  • general: Influence the long-term vision of the platform.
  • general: Contribute to a high-performance AI product that will be central to Crusoe's business growth.
  • general: Make a tangible impact on the future of AI.
  • general: Work in a sustainable and responsible environment.
  • general: Professional development opportunities.
  • general: Health insurance
  • general: Paid time off
  • general: Retirement plan

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Crusoe logo

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

Crusoe

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

full-timePosted: Jan 30, 2026

Job Description

Crusoe: Senior Software Engineer, Managed AI - San Francisco, CA

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.

Role Overview

The Crusoe Cloud Managed AI team is seeking a highly motivated and experienced Senior Software Engineer to play a pivotal role in shaping the future of our next-generation AI inference platform. In this role, you will be responsible for the design, development, and scaling of core systems that power our AI services. You'll be at the forefront of building resilient, fault-tolerant queues, sophisticated model catalogs, and optimized scheduling mechanisms designed for maximum cost-effectiveness and performance. This is an exceptional opportunity to build and scale infrastructure capable of handling millions of API requests per second, serving thousands of customers globally.

From day one, you will own critical subsystems within our managed AI inference platform, directly contributing to the delivery of Large Language Models (LLMs) to a global audience. As a key member of our dynamic and rapidly expanding team, you will actively collaborate across functional areas, influencing the long-term strategic vision of the platform and contributing to the advancement of cutting-edge AI technologies. This position offers a unique chance to develop a high-performance AI product that is central to Crusoe's continued business expansion and success.

A Day in the Life

Your typical day as a Senior Software Engineer on the Managed AI team might involve:

  • Participating in design discussions to define the architecture of new features and improvements to existing systems.
  • Writing and testing code for core components of the AI inference platform, such as the request queue or model deployment service.
  • Collaborating with data scientists to optimize model performance and integration with the platform.
  • Working with product managers to translate user requirements into technical specifications.
  • Debugging and resolving production issues, ensuring high availability and performance.
  • Monitoring system performance and identifying areas for optimization.
  • Participating in code reviews to ensure code quality and adherence to best practices.
  • Researching and evaluating new technologies and techniques for improving the AI inference platform.
  • Mentoring junior engineers and sharing your expertise.
  • Attending team meetings to discuss progress and plan future work.

Why San Francisco/Sunnyvale?

Crusoe's presence in both San Francisco and Sunnyvale, CA places you at the epicenter of the tech world. This vibrant region offers:

  • Unparalleled Networking Opportunities: Connect with industry leaders, attend cutting-edge conferences, and collaborate with top talent from around the globe.
  • Access to Innovation: Be at the forefront of technological advancements, with access to the latest research, tools, and resources.
  • A Thriving Tech Community: Immerse yourself in a collaborative and supportive environment where innovation is fostered and celebrated.
  • Quality of Life: Enjoy the diverse culture, world-class cuisine, and stunning natural beauty that the San Francisco Bay Area has to offer.

Career Path

At Crusoe, we are committed to fostering the professional growth of our employees. The Senior Software Engineer role on the Managed AI team provides a strong foundation for career advancement. Potential career paths include:

  • Principal Engineer: Lead technical initiatives and provide guidance to other engineers.
  • Staff Engineer: Focus on architectural design and strategic planning.
  • Engineering Manager: Lead and manage a team of software engineers.
  • Technical Lead: Oversee the technical aspects of a specific project or product.

We encourage our employees to explore their interests and develop their skills, and we provide opportunities for training and mentorship to support their career goals.

Salary and Benefits

Crusoe offers a comprehensive compensation package that includes a competitive salary, health insurance, paid time off, and a retirement plan. We also offer a variety of other benefits, such as professional development opportunities and employee discounts. The estimated salary range for this position in San Francisco/Sunnyvale, CA is $180,000 - $250,000 per year, depending on experience and qualifications.

Crusoe Culture

At Crusoe, we believe in fostering a culture of innovation, collaboration, and respect. We are committed to creating a workplace where everyone feels valued and empowered to contribute their best work. We encourage our employees to be creative, take risks, and learn from their mistakes. We also believe in giving back to the community and supporting sustainable practices.

How to Apply

To apply for the Senior Software Engineer, Managed AI position, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant experience and skills, and to explain why you are interested in working at Crusoe.

FAQ

  1. What is Crusoe's mission?

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

  2. What does the Managed AI team do?

    The Managed AI team builds and operates a platform for AI inference, enabling customers to deploy and scale AI models.

  3. What are the key responsibilities of this role?

    The key responsibilities include designing and developing core infrastructure for the Managed AI platform, collaborating with cross-functional teams, and ensuring high availability and performance of AI services.

  4. What skills and qualifications are required for this role?

    The required skills and qualifications include an advanced degree in Computer Science or a related field, experience in distributed systems design and implementation, and proficiency in Go or Python.

  5. What is the career path for this role?

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

  6. What benefits does Crusoe offer?

    Crusoe offers a competitive salary and benefits package, including health insurance, paid time off, and a retirement plan.

  7. What is the company culture like?

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

  8. Where is this role located?

    This role is located in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence.

  9. What type of experience is beneficial for this role?

    Experience with Generative AI (Large Language Models, Multimodal) is highly beneficial.

  10. What are the working hours for this role?

    This is a full-time position that will require you to be present in the office. Specific working hours can be discussed during the interview process.

Locations

  • San Francisco, California, United States
  • Sunnyvale, 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

  • Distributed Systems Designintermediate
  • Cloud-Based Services (Elastic Compute, Object Storage, VPN, Managed Databases)intermediate
  • Container Runtimes (Kubernetes)intermediate
  • Microservices Architecturesintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • CI/CD Toolsintermediate
  • Generative AIintermediate
  • Large Language Models (LLMs)intermediate
  • Multimodal AIintermediate
  • Gointermediate
  • Pythonintermediate
  • Fault Toleranceintermediate
  • High Availability Systemsintermediate
  • Performance Optimizationintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or a related field. (experience)
  • Proven experience in distributed systems design and implementation. (experience)
  • Expertise in using cloud-based services, such as elastic compute, object storage, virtual private networks, managed databases, etc. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Demonstrated experience in the software development cycle and familiarity with CI/CD tools. (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Proficiency in Go or Python (or similar language). (experience)
  • Experience designing and implementing systems with high availability, low latency, and fault tolerance. (experience)
  • Experience optimizing performance across all stages of the AI inference pipeline. (experience)
  • Strong problem-solving skills and attention to detail. (experience)
  • Excellent communication and collaboration skills. (experience)

Responsibilities

  • Design and develop core infrastructure for the Managed AI platform, including resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.
  • Build and optimize systems for high-volume AI inference, handling millions of API requests per second.
  • Develop and maintain core services for AI model deployment and management.
  • Collaborate with product managers, data scientists, and other engineers to define and deliver AI services.
  • Integrate with other Crusoe Cloud services to provide a seamless user experience.
  • Collaborate with research and development teams to explore and implement new AI technologies.
  • Ensure high availability and performance of AI services.
  • Design and implement systems with high availability, low latency, and fault tolerance.
  • Optimize performance across all stages of the AI inference pipeline, including model loading, execution, and response handling.
  • Continuously monitor and improve the performance and reliability of AI services.
  • Lead the design and implementation of core systems for our AI services.
  • Shape the architecture and scalability of our next-generation AI inference platform.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on cutting-edge AI technologies.
  • general: Be a part of a dynamic, fast-growing team.
  • general: Collaborate cross-functionally with talented individuals.
  • general: Influence the long-term vision of the platform.
  • general: Contribute to a high-performance AI product that will be central to Crusoe's business growth.
  • general: Make a tangible impact on the future of AI.
  • general: Work in a sustainable and responsible environment.
  • general: Professional development opportunities.
  • general: Health insurance
  • general: Paid time off
  • general: Retirement plan

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

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Managed AI 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 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

AISoftware EngineeringCloudSan FranciscoSunnyvaleFull-timeSenior LevelSenior Software EngineerManaged AIArtificial IntelligenceAI InferenceDistributed SystemsCloud ComputingKubernetesMicroservicesREST APIgRPCGo programmingPython programmingCaliforniaCrusoe EnergyGenerative AILarge Language ModelsFault ToleranceHigh AvailabilityModel DeploymentAI PlatformAPI requestsSoftware DevelopmentMachine LearningGreen TechAI InfrastructureCloudEngineering

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