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

Crusoe

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

full-timePosted: Jan 29, 2026

Job Description

Staff Software Engineer, Managed AI - Crusoe Energy Systems

Role Overview

Crusoe Energy Systems is seeking a talented and driven Staff Software Engineer to join our Managed AI team. In this role, you will be instrumental in designing, developing, and scaling our next-generation AI inference platform. You will be responsible for building core systems that support our AI services, ensuring they are resilient, fault-tolerant, and optimized for both cost and performance. This is a unique opportunity to contribute to a high-performance AI product that will be central to Crusoe's business growth and the broader AI revolution.

Day in the Life

As a Staff Software Engineer, your day-to-day activities will include:

  • Designing and implementing core AI services such as resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.
  • Writing high-performance APIs for serving AI models to customers.
  • Optimizing AI inference performance on GPU-based systems.
  • Collaborating with product management and other engineering teams to define the long-term vision of the AI platform.
  • Participating in code reviews and contributing to open-source AI frameworks.
  • Prototyping and iterating on new features and technologies.
  • Implementing robust monitoring and alerting to ensure system health and availability.

Why San Francisco or Sunnyvale, CA?

San Francisco and Sunnyvale are hubs of innovation and technology, offering a vibrant ecosystem for AI and software engineering professionals. By working in our San Francisco or Sunnyvale office, you'll be at the heart of the AI revolution, surrounded by top talent and cutting-edge research. The Bay Area provides unparalleled opportunities for networking, learning, and career growth. Additionally, both locations offer a high quality of life with access to diverse cultural experiences, outdoor activities, and world-class dining.

Career Path

At Crusoe, we are committed to the growth and development of our employees. As a Staff Software Engineer, you'll have opportunities to advance your career through technical leadership roles, management positions, or specialized areas of expertise. We provide a clear career path with well-defined expectations and support for continuous learning. You can grow into a Principal Engineer, Engineering Manager, or Architect role based on your interests and contributions.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Competitive salary range: $180,000 - $280,000 per year
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • And more!

Crusoe Culture

Crusoe is a mission-driven company with a culture of innovation, collaboration, and sustainability. We are passionate about accelerating the abundance of energy and intelligence while minimizing our environmental impact. Our team is composed of talented individuals from diverse backgrounds who are committed to making a difference. We foster a supportive and inclusive work environment where everyone can thrive and contribute their best work.

How to Apply

If you are excited about the opportunity to build the future of AI infrastructure at Crusoe, we encourage you to apply! Please submit your resume and a cover letter outlining your qualifications and experience through our online application portal. We look forward to hearing from you!

Frequently Asked Questions (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? You will be designing, developing, and scaling our next-generation AI inference platform, including core systems like fault-tolerant queues and model catalogs.
  3. What skills are required for this role? Strong engineering fundamentals, AI/ML expertise, and software engineering skills are required. Specific skills include experience with distributed systems, cloud computing, Kubernetes, and REST APIs.
  4. What is the career path for this role? You can grow into technical leadership roles, management positions, or specialized areas of expertise, such as Principal Engineer, Engineering Manager, or Architect.
  5. What benefits does Crusoe offer? Crusoe offers a competitive salary, comprehensive health insurance, generous paid time off, a 401(k) plan, and professional development opportunities.
  6. What is the work environment like at Crusoe? Crusoe fosters a collaborative and supportive work environment where everyone can thrive and contribute their best work.
  7. Where are the Crusoe offices located? This role is based in our San Francisco or Sunnyvale, CA office.
  8. What is the interview process like? The interview process typically includes a phone screening, technical interviews, and a final interview with the hiring manager.
  9. Does Crusoe offer relocation assistance? Relocation assistance may be available for qualified candidates.
  10. How does Crusoe contribute to sustainability? Crusoe is committed to minimizing our environmental impact by utilizing stranded energy resources and developing sustainable cloud infrastructure.

Locations

  • San Francisco, California, United States
  • Sunnyvale, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 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
  • AI Inferenceintermediate
  • Large Language Models (LLMs)intermediate
  • Generative AIintermediate
  • Cloud Computingintermediate
  • Kubernetesintermediate
  • Microservices Architectureintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • GPU-based Systemsintermediate
  • Fault-Tolerant Queuesintermediate
  • Model Catalogsintermediate
  • Scheduling Mechanismsintermediate
  • High-Performance Computingintermediate
  • API Developmentintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or related field. (experience)
  • Demonstrable experience in distributed systems design and implementation. (experience)
  • Proven track record of delivering early-stage projects under tight deadlines. (experience)
  • Expertise in using cloud-based services (elastic compute, object storage, virtual private networks, managed database). (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Strong understanding of software engineering principles and best practices. (experience)
  • Excellent problem-solving and analytical skills. (experience)

Responsibilities

  • Lead the design and implementation of core AI services.
  • Design resilient fault-tolerant queues for efficient task distribution.
  • Develop model catalogs for managing and versioning AI models.
  • Create scheduling mechanisms optimized for cost and performance.
  • Build high-performance APIs for serving AI models to customers.
  • Scale infrastructure to handle millions of API requests per second.
  • Optimize AI inference performance on GPU-based systems.
  • Implement robust monitoring and alerting to ensure system health and availability.
  • Collaborate closely with product management, business strategy, and other engineering teams.
  • Influence the long-term vision and architectural decisions of the AI platform.
  • Contribute to open-source AI frameworks and participate in the AI community.
  • Prototype and iterate on new features and technologies.
  • Own critical subsystems for managed AI inference.
  • Help serve large language models (LLMs) to a global audience.

Benefits

  • general: Competitive salary and equity options.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: 401(k) retirement plan with company match.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge AI technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on the company's growth.
  • general: Employee assistance program.
  • general: Flexible spending accounts.
  • general: Life insurance and disability coverage.
  • general: Commuter benefits.
  • general: Free snacks and beverages in the office.
  • general: Team-building events and activities.
  • general: Access to learning resources and training programs.

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AISoftware EngineeringCloudSan FranciscoSunnyvaleFull-timeOn-siteStaff Software EngineerManaged AIArtificial IntelligenceAI InferenceMachine LearningLarge Language ModelsGenerative AICloud ComputingDistributed SystemsCaliforniaBay AreaKubernetesMicroservicesREST APIsgRPCGPU ComputingFault-Tolerant SystemsModel CatalogsScheduling AlgorithmsHigh-Performance ComputingAI InfrastructureETL PipelinesCrusoe Energy SystemsSustainable TechnologyRenewable EnergyGreen TechAI InfrastructureCloudEngineering

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Crusoe logo

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

Crusoe

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

full-timePosted: Jan 29, 2026

Job Description

Staff Software Engineer, Managed AI - Crusoe Energy Systems

Role Overview

Crusoe Energy Systems is seeking a talented and driven Staff Software Engineer to join our Managed AI team. In this role, you will be instrumental in designing, developing, and scaling our next-generation AI inference platform. You will be responsible for building core systems that support our AI services, ensuring they are resilient, fault-tolerant, and optimized for both cost and performance. This is a unique opportunity to contribute to a high-performance AI product that will be central to Crusoe's business growth and the broader AI revolution.

Day in the Life

As a Staff Software Engineer, your day-to-day activities will include:

  • Designing and implementing core AI services such as resilient fault-tolerant queues, model catalogs, and scheduling mechanisms.
  • Writing high-performance APIs for serving AI models to customers.
  • Optimizing AI inference performance on GPU-based systems.
  • Collaborating with product management and other engineering teams to define the long-term vision of the AI platform.
  • Participating in code reviews and contributing to open-source AI frameworks.
  • Prototyping and iterating on new features and technologies.
  • Implementing robust monitoring and alerting to ensure system health and availability.

Why San Francisco or Sunnyvale, CA?

San Francisco and Sunnyvale are hubs of innovation and technology, offering a vibrant ecosystem for AI and software engineering professionals. By working in our San Francisco or Sunnyvale office, you'll be at the heart of the AI revolution, surrounded by top talent and cutting-edge research. The Bay Area provides unparalleled opportunities for networking, learning, and career growth. Additionally, both locations offer a high quality of life with access to diverse cultural experiences, outdoor activities, and world-class dining.

Career Path

At Crusoe, we are committed to the growth and development of our employees. As a Staff Software Engineer, you'll have opportunities to advance your career through technical leadership roles, management positions, or specialized areas of expertise. We provide a clear career path with well-defined expectations and support for continuous learning. You can grow into a Principal Engineer, Engineering Manager, or Architect role based on your interests and contributions.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, including:

  • Competitive salary range: $180,000 - $280,000 per year
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • And more!

Crusoe Culture

Crusoe is a mission-driven company with a culture of innovation, collaboration, and sustainability. We are passionate about accelerating the abundance of energy and intelligence while minimizing our environmental impact. Our team is composed of talented individuals from diverse backgrounds who are committed to making a difference. We foster a supportive and inclusive work environment where everyone can thrive and contribute their best work.

How to Apply

If you are excited about the opportunity to build the future of AI infrastructure at Crusoe, we encourage you to apply! Please submit your resume and a cover letter outlining your qualifications and experience through our online application portal. We look forward to hearing from you!

Frequently Asked Questions (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? You will be designing, developing, and scaling our next-generation AI inference platform, including core systems like fault-tolerant queues and model catalogs.
  3. What skills are required for this role? Strong engineering fundamentals, AI/ML expertise, and software engineering skills are required. Specific skills include experience with distributed systems, cloud computing, Kubernetes, and REST APIs.
  4. What is the career path for this role? You can grow into technical leadership roles, management positions, or specialized areas of expertise, such as Principal Engineer, Engineering Manager, or Architect.
  5. What benefits does Crusoe offer? Crusoe offers a competitive salary, comprehensive health insurance, generous paid time off, a 401(k) plan, and professional development opportunities.
  6. What is the work environment like at Crusoe? Crusoe fosters a collaborative and supportive work environment where everyone can thrive and contribute their best work.
  7. Where are the Crusoe offices located? This role is based in our San Francisco or Sunnyvale, CA office.
  8. What is the interview process like? The interview process typically includes a phone screening, technical interviews, and a final interview with the hiring manager.
  9. Does Crusoe offer relocation assistance? Relocation assistance may be available for qualified candidates.
  10. How does Crusoe contribute to sustainability? Crusoe is committed to minimizing our environmental impact by utilizing stranded energy resources and developing sustainable cloud infrastructure.

Locations

  • San Francisco, California, United States
  • Sunnyvale, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 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
  • AI Inferenceintermediate
  • Large Language Models (LLMs)intermediate
  • Generative AIintermediate
  • Cloud Computingintermediate
  • Kubernetesintermediate
  • Microservices Architectureintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • GPU-based Systemsintermediate
  • Fault-Tolerant Queuesintermediate
  • Model Catalogsintermediate
  • Scheduling Mechanismsintermediate
  • High-Performance Computingintermediate
  • API Developmentintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or related field. (experience)
  • Demonstrable experience in distributed systems design and implementation. (experience)
  • Proven track record of delivering early-stage projects under tight deadlines. (experience)
  • Expertise in using cloud-based services (elastic compute, object storage, virtual private networks, managed database). (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Strong understanding of software engineering principles and best practices. (experience)
  • Excellent problem-solving and analytical skills. (experience)

Responsibilities

  • Lead the design and implementation of core AI services.
  • Design resilient fault-tolerant queues for efficient task distribution.
  • Develop model catalogs for managing and versioning AI models.
  • Create scheduling mechanisms optimized for cost and performance.
  • Build high-performance APIs for serving AI models to customers.
  • Scale infrastructure to handle millions of API requests per second.
  • Optimize AI inference performance on GPU-based systems.
  • Implement robust monitoring and alerting to ensure system health and availability.
  • Collaborate closely with product management, business strategy, and other engineering teams.
  • Influence the long-term vision and architectural decisions of the AI platform.
  • Contribute to open-source AI frameworks and participate in the AI community.
  • Prototype and iterate on new features and technologies.
  • Own critical subsystems for managed AI inference.
  • Help serve large language models (LLMs) to a global audience.

Benefits

  • general: Competitive salary and equity options.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: 401(k) retirement plan with company match.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge AI technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on the company's growth.
  • general: Employee assistance program.
  • general: Flexible spending accounts.
  • general: Life insurance and disability coverage.
  • general: Commuter benefits.
  • general: Free snacks and beverages in the office.
  • general: Team-building events and activities.
  • general: Access to learning resources and training programs.

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

Get personalized recommendations to optimize your resume specifically for Staff 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 "Staff 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-timeOn-siteStaff Software EngineerManaged AIArtificial IntelligenceAI InferenceMachine LearningLarge Language ModelsGenerative AICloud ComputingDistributed SystemsCaliforniaBay AreaKubernetesMicroservicesREST APIsgRPCGPU ComputingFault-Tolerant SystemsModel CatalogsScheduling AlgorithmsHigh-Performance ComputingAI InfrastructureETL PipelinesCrusoe Energy SystemsSustainable TechnologyRenewable EnergyGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff 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.