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Staff Site Reliability Engineer (Managed AI) Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Staff Site Reliability Engineer (Managed AI) Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Jan 24, 2026

Job Description

Staff Site Reliability Engineer, Managed AI - Crusoe Energy

Staff Site Reliability Engineer, Managed AI - Crusoe Energy

Role Overview

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As a Staff Site Reliability Engineer (SRE) focusing on Managed AI, you will play a pivotal role in ensuring the reliability, scalability, and performance of our AI-optimized cloud platform. You will be at the forefront of building and operating managed AI services at scale, directly impacting the AI revolution through sustainable technology.

This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers. You will collaborate closely with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters. Your expertise will drive the architecture of next-generation distributed systems tailored for AI-first environments.

A Day in the Life

Your day will be dynamic and multifaceted, involving a mix of designing, building, troubleshooting, and optimizing our AI infrastructure. A typical day might include:

  • Designing and implementing automation and reliability tooling to support distributed AI pipelines.
  • Collaborating with AI engineers to optimize LLM serving and scaling strategies.
  • Defining and refining SLIs/SLOs for AI workloads, ensuring performance and reliability targets are consistently met.
  • Investigating and resolving reliability incidents in distributed AI systems using advanced telemetry, logs, and profiling tools.
  • Contributing to architectural discussions for building cutting-edge distributed systems tailored for AI applications.
  • Participating in code reviews and knowledge-sharing sessions with your team.
  • Monitoring system performance and proactively identifying areas for improvement.
  • Developing and implementing strategies for performance tuning of latency-sensitive AI services.
  • Participating in on-call rotations and incident response.
  • Mentoring junior engineers and sharing knowledge within the team.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Located in the heart of Silicon Valley, Crusoe's San Francisco office provides access to a vibrant ecosystem of AI researchers, engineers, and startups. The city's rich culture, diverse communities, and world-class amenities make it an ideal location for those passionate about technology and seeking a dynamic urban lifestyle.

Furthermore, Crusoe's presence in San Francisco allows us to attract top talent and foster collaboration with leading industry experts and academic institutions. This strategic location enhances our ability to stay at the forefront of AI advancements and deliver cutting-edge solutions to our customers.

Career Path

At Crusoe, we are committed to fostering the growth and development of our employees. As a Staff Site Reliability Engineer, you will have opportunities to advance your career through various avenues:

  • Technical Leadership: Grow into a Principal Engineer role, leading architectural initiatives and mentoring other engineers.
  • Management: Transition into an Engineering Manager role, leading a team of SREs and driving strategic projects.
  • Specialization: Deepen your expertise in a specific area of AI infrastructure, such as LLM scaling or performance optimization.
  • Cross-Functional Opportunities: Explore opportunities to work with other teams within Crusoe, such as AI research, platform engineering, or product management.

We provide ongoing training and development programs to support your career goals and help you reach your full potential. Your growth is our priority, and we are dedicated to providing the resources and opportunities you need to succeed.

Salary & Benefits

Crusoe offers a comprehensive compensation package that includes:

  • Industry competitive pay (The estimated salary range for this role in San Francisco is $180,000 - $280,000 annually.)
  • Restricted Stock Units in a fast-growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $300 per month

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We are committed to creating a workplace where every employee feels valued, respected, and empowered to contribute their best work. Our core values include:

  • Innovation: We encourage creative thinking and embrace new ideas to drive technological advancements.
  • Collaboration: We believe in the power of teamwork and foster a supportive environment where everyone can thrive.
  • Sustainability: We are committed to building a sustainable future by developing environmentally responsible solutions.
  • Integrity: We uphold the highest ethical standards and conduct our business with honesty and transparency.
  • Impact: We strive to make a meaningful impact on the world by solving challenging problems and creating value for our customers and communities.

We also prioritize work-life balance and offer flexible work arrangements to support our employees' personal and professional needs.

How to Apply

If you are passionate about AI, distributed systems, and sustainability, and are excited to join a dynamic and innovative team, we encourage you to apply! To apply for the Staff Site Reliability Engineer, Managed AI position, please submit your resume and cover letter through our online application portal.

We look forward to hearing from you and exploring how your skills and experience can contribute to Crusoe's mission.

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 does a Staff Site Reliability Engineer at Crusoe do?

    A Staff Site Reliability Engineer ensures the reliability, scalability, and performance of Crusoe’s AI-optimized cloud platform. They design and operate managed AI services, build automation tools, define SLIs/SLOs, and collaborate with other teams to optimize AI infrastructure.

  3. What skills are required for this role?

    Required skills include a strong software engineering background, experience in distributed systems design, hands-on work with LLMs or AI/ML infrastructure, SRE mindset, proficiency in a modern programming language (Python, Go, Java, C++), and familiarity with Kubernetes.

  4. What are the benefits of working at Crusoe?

    Crusoe offers competitive pay, restricted stock units, comprehensive health insurance, HSA contributions, paid parental leave, life insurance, Teladoc, 401(k) with matching, generous PTO, cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and a commuter benefit.

  5. What is the work environment like at Crusoe?

    Crusoe fosters a culture of innovation, collaboration, and sustainability. The work environment is fast-paced, mission-driven, and supportive, with a focus on continuous learning and growth.

  6. What career growth opportunities are available at Crusoe?

    Career growth opportunities include technical leadership roles (Principal Engineer), management roles (Engineering Manager), specialization in AI infrastructure, and cross-functional opportunities within Crusoe.

  7. How does Crusoe support sustainability?

    Crusoe is committed to building a sustainable future by developing environmentally responsible solutions and prioritizing the use of clean energy sources.

  8. What is the interview process like at Crusoe?

    The interview process typically includes a phone screening, technical interview(s), and a final interview with the hiring manager and other team members. The process may vary depending on the specific role.

  9. What is the company culture like?

    Crusoe's culture emphasizes innovation, collaboration, sustainability, integrity, and impact. Employees are encouraged to be creative, work together, and contribute to the company's mission of accelerating the abundance of energy and intelligence.

  10. What is Crusoe's approach to diversity and inclusion?

    Crusoe is committed to creating a diverse and inclusive workplace where all employees feel valued and respected. We believe that diversity fosters innovation and enhances our ability to solve complex problems. We are an equal opportunity employer and welcome applicants from all backgrounds.

Locations

  • San Francisco, 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

  • Site Reliability Engineering (SRE)intermediate
  • Distributed Systems Designintermediate
  • Large Language Models (LLMs)intermediate
  • AI/ML Infrastructureintermediate
  • Kubernetesintermediate
  • Container Orchestrationintermediate
  • Pythonintermediate
  • Gointermediate
  • Javaintermediate
  • C++intermediate
  • SLI/SLO Definitionintermediate
  • Monitoring Systemsintermediate
  • Observability Systemsintermediate
  • Fault-Tolerant Systemsintermediate
  • Automated Testingintermediate
  • Telemetryintermediate
  • Performance Tuningintermediate
  • Cloud Platformsintermediate
  • Automationintermediate
  • AI Pipelinesintermediate
  • Inference Servicesintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Software Engineeringintermediate

Required Qualifications

  • Strong software engineering background with experience building production-grade systems. (experience)
  • Demonstrated experience in distributed systems design and implementation. (experience)
  • Hands-on experience with large language models (LLMs) or AI/ML infrastructure. (experience)
  • SRE mindset and experience, including defining and measuring SLIs/SLOs. (experience)
  • Experience building monitoring and observability systems. (experience)
  • Experience driving performance and reliability improvements. (experience)
  • Experience designing fault-tolerant systems and automated testing strategies. (experience)
  • Proficiency in at least one modern programming language (Python, Go, Java, C++). (experience)
  • Familiarity with Kubernetes or container orchestration platforms. (experience)
  • Strong collaboration and communication skills. (experience)
  • Ability to thrive in a fast-paced, mission-driven environment. (experience)
  • Experience scaling inference or training workloads for LLMs (Bonus). (experience)

Responsibilities

  • Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads.
  • Build automation and reliability tooling to support distributed AI pipelines and inference services.
  • Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met.
  • Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters.
  • Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services.
  • Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling.
  • Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments.
  • Ensure the reliability and scalability of Crusoe’s AI-optimized cloud platform.
  • Deliver highly available, performant, and cost-efficient AI infrastructure.
  • Optimize large-scale training and inference clusters.
  • Develop and implement strategies for performance tuning of latency-sensitive AI services.
  • Participate in on-call rotations and incident response.
  • Mentor junior engineers and share knowledge within the team.

Benefits

  • general: Industry competitive pay
  • general: Restricted Stock Units in a fast-growing technology company
  • general: Health insurance package options (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: Subscription to the Calm app
  • general: MetLife Legal
  • general: Company paid commuter benefit; $300 per month

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

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Tags & Categories

SREAILLMKubernetesCloudSan FranciscoCaliforniaFull-timeSite Reliability EngineerManaged AILarge Language ModelsAI InfrastructureMachine LearningDistributed SystemsCloud ComputingAutomationTechnology JobsEngineering JobsCrusoe EnergySustainable TechnologyAI RevolutionInferenceTrainingTelemetryObservabilityPerformance TuningCloud PlatformSoftware EngineeringGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff Site Reliability Engineer (Managed AI) Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.

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Crusoe logo

Staff Site Reliability Engineer (Managed AI) Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Staff Site Reliability Engineer (Managed AI) Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Jan 24, 2026

Job Description

Staff Site Reliability Engineer, Managed AI - Crusoe Energy

Staff Site Reliability Engineer, Managed AI - Crusoe Energy

Role Overview

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As a Staff Site Reliability Engineer (SRE) focusing on Managed AI, you will play a pivotal role in ensuring the reliability, scalability, and performance of our AI-optimized cloud platform. You will be at the forefront of building and operating managed AI services at scale, directly impacting the AI revolution through sustainable technology.

This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers. You will collaborate closely with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters. Your expertise will drive the architecture of next-generation distributed systems tailored for AI-first environments.

A Day in the Life

Your day will be dynamic and multifaceted, involving a mix of designing, building, troubleshooting, and optimizing our AI infrastructure. A typical day might include:

  • Designing and implementing automation and reliability tooling to support distributed AI pipelines.
  • Collaborating with AI engineers to optimize LLM serving and scaling strategies.
  • Defining and refining SLIs/SLOs for AI workloads, ensuring performance and reliability targets are consistently met.
  • Investigating and resolving reliability incidents in distributed AI systems using advanced telemetry, logs, and profiling tools.
  • Contributing to architectural discussions for building cutting-edge distributed systems tailored for AI applications.
  • Participating in code reviews and knowledge-sharing sessions with your team.
  • Monitoring system performance and proactively identifying areas for improvement.
  • Developing and implementing strategies for performance tuning of latency-sensitive AI services.
  • Participating in on-call rotations and incident response.
  • Mentoring junior engineers and sharing knowledge within the team.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for professional growth and networking. Located in the heart of Silicon Valley, Crusoe's San Francisco office provides access to a vibrant ecosystem of AI researchers, engineers, and startups. The city's rich culture, diverse communities, and world-class amenities make it an ideal location for those passionate about technology and seeking a dynamic urban lifestyle.

Furthermore, Crusoe's presence in San Francisco allows us to attract top talent and foster collaboration with leading industry experts and academic institutions. This strategic location enhances our ability to stay at the forefront of AI advancements and deliver cutting-edge solutions to our customers.

Career Path

At Crusoe, we are committed to fostering the growth and development of our employees. As a Staff Site Reliability Engineer, you will have opportunities to advance your career through various avenues:

  • Technical Leadership: Grow into a Principal Engineer role, leading architectural initiatives and mentoring other engineers.
  • Management: Transition into an Engineering Manager role, leading a team of SREs and driving strategic projects.
  • Specialization: Deepen your expertise in a specific area of AI infrastructure, such as LLM scaling or performance optimization.
  • Cross-Functional Opportunities: Explore opportunities to work with other teams within Crusoe, such as AI research, platform engineering, or product management.

We provide ongoing training and development programs to support your career goals and help you reach your full potential. Your growth is our priority, and we are dedicated to providing the resources and opportunities you need to succeed.

Salary & Benefits

Crusoe offers a comprehensive compensation package that includes:

  • Industry competitive pay (The estimated salary range for this role in San Francisco is $180,000 - $280,000 annually.)
  • Restricted Stock Units in a fast-growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $300 per month

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and sustainability. We are committed to creating a workplace where every employee feels valued, respected, and empowered to contribute their best work. Our core values include:

  • Innovation: We encourage creative thinking and embrace new ideas to drive technological advancements.
  • Collaboration: We believe in the power of teamwork and foster a supportive environment where everyone can thrive.
  • Sustainability: We are committed to building a sustainable future by developing environmentally responsible solutions.
  • Integrity: We uphold the highest ethical standards and conduct our business with honesty and transparency.
  • Impact: We strive to make a meaningful impact on the world by solving challenging problems and creating value for our customers and communities.

We also prioritize work-life balance and offer flexible work arrangements to support our employees' personal and professional needs.

How to Apply

If you are passionate about AI, distributed systems, and sustainability, and are excited to join a dynamic and innovative team, we encourage you to apply! To apply for the Staff Site Reliability Engineer, Managed AI position, please submit your resume and cover letter through our online application portal.

We look forward to hearing from you and exploring how your skills and experience can contribute to Crusoe's mission.

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 does a Staff Site Reliability Engineer at Crusoe do?

    A Staff Site Reliability Engineer ensures the reliability, scalability, and performance of Crusoe’s AI-optimized cloud platform. They design and operate managed AI services, build automation tools, define SLIs/SLOs, and collaborate with other teams to optimize AI infrastructure.

  3. What skills are required for this role?

    Required skills include a strong software engineering background, experience in distributed systems design, hands-on work with LLMs or AI/ML infrastructure, SRE mindset, proficiency in a modern programming language (Python, Go, Java, C++), and familiarity with Kubernetes.

  4. What are the benefits of working at Crusoe?

    Crusoe offers competitive pay, restricted stock units, comprehensive health insurance, HSA contributions, paid parental leave, life insurance, Teladoc, 401(k) with matching, generous PTO, cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and a commuter benefit.

  5. What is the work environment like at Crusoe?

    Crusoe fosters a culture of innovation, collaboration, and sustainability. The work environment is fast-paced, mission-driven, and supportive, with a focus on continuous learning and growth.

  6. What career growth opportunities are available at Crusoe?

    Career growth opportunities include technical leadership roles (Principal Engineer), management roles (Engineering Manager), specialization in AI infrastructure, and cross-functional opportunities within Crusoe.

  7. How does Crusoe support sustainability?

    Crusoe is committed to building a sustainable future by developing environmentally responsible solutions and prioritizing the use of clean energy sources.

  8. What is the interview process like at Crusoe?

    The interview process typically includes a phone screening, technical interview(s), and a final interview with the hiring manager and other team members. The process may vary depending on the specific role.

  9. What is the company culture like?

    Crusoe's culture emphasizes innovation, collaboration, sustainability, integrity, and impact. Employees are encouraged to be creative, work together, and contribute to the company's mission of accelerating the abundance of energy and intelligence.

  10. What is Crusoe's approach to diversity and inclusion?

    Crusoe is committed to creating a diverse and inclusive workplace where all employees feel valued and respected. We believe that diversity fosters innovation and enhances our ability to solve complex problems. We are an equal opportunity employer and welcome applicants from all backgrounds.

Locations

  • San Francisco, 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

  • Site Reliability Engineering (SRE)intermediate
  • Distributed Systems Designintermediate
  • Large Language Models (LLMs)intermediate
  • AI/ML Infrastructureintermediate
  • Kubernetesintermediate
  • Container Orchestrationintermediate
  • Pythonintermediate
  • Gointermediate
  • Javaintermediate
  • C++intermediate
  • SLI/SLO Definitionintermediate
  • Monitoring Systemsintermediate
  • Observability Systemsintermediate
  • Fault-Tolerant Systemsintermediate
  • Automated Testingintermediate
  • Telemetryintermediate
  • Performance Tuningintermediate
  • Cloud Platformsintermediate
  • Automationintermediate
  • AI Pipelinesintermediate
  • Inference Servicesintermediate
  • Collaborationintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Software Engineeringintermediate

Required Qualifications

  • Strong software engineering background with experience building production-grade systems. (experience)
  • Demonstrated experience in distributed systems design and implementation. (experience)
  • Hands-on experience with large language models (LLMs) or AI/ML infrastructure. (experience)
  • SRE mindset and experience, including defining and measuring SLIs/SLOs. (experience)
  • Experience building monitoring and observability systems. (experience)
  • Experience driving performance and reliability improvements. (experience)
  • Experience designing fault-tolerant systems and automated testing strategies. (experience)
  • Proficiency in at least one modern programming language (Python, Go, Java, C++). (experience)
  • Familiarity with Kubernetes or container orchestration platforms. (experience)
  • Strong collaboration and communication skills. (experience)
  • Ability to thrive in a fast-paced, mission-driven environment. (experience)
  • Experience scaling inference or training workloads for LLMs (Bonus). (experience)

Responsibilities

  • Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads.
  • Build automation and reliability tooling to support distributed AI pipelines and inference services.
  • Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met.
  • Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters.
  • Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services.
  • Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling.
  • Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environments.
  • Ensure the reliability and scalability of Crusoe’s AI-optimized cloud platform.
  • Deliver highly available, performant, and cost-efficient AI infrastructure.
  • Optimize large-scale training and inference clusters.
  • Develop and implement strategies for performance tuning of latency-sensitive AI services.
  • Participate in on-call rotations and incident response.
  • Mentor junior engineers and share knowledge within the team.

Benefits

  • general: Industry competitive pay
  • general: Restricted Stock Units in a fast-growing technology company
  • general: Health insurance package options (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: Subscription to the Calm app
  • general: MetLife Legal
  • general: Company paid commuter benefit; $300 per month

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

Get personalized recommendations to optimize your resume specifically for Staff Site Reliability 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 Site Reliability 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

SREAILLMKubernetesCloudSan FranciscoCaliforniaFull-timeSite Reliability EngineerManaged AILarge Language ModelsAI InfrastructureMachine LearningDistributed SystemsCloud ComputingAutomationTechnology JobsEngineering JobsCrusoe EnergySustainable TechnologyAI RevolutionInferenceTrainingTelemetryObservabilityPerformance TuningCloud PlatformSoftware EngineeringGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff Site Reliability 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.