Senior Production Engineer, Managed AI

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.About the Role:At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers.What You’ll Work On:Design and operate reliable managed AI services with a focus on serving and scaling LLM workloadsBuild automation and reliability tooling to support distributed AI pipelines and inference servicesDefine, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are metCollaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clustersAutomate observability by building telemetry and performance tuning strategies for latency-sensitive AI servicesInvestigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profilingContribute to the architecture of next-generation distributed systems purpose-built for AI-first environmentsWhat You’ll Bring:Strong software engineering background — experience building production-grade systems beyond scripting or BashDemonstrated experience in distributed systems design and implementationHands-on work with large language models (LLMs) or AI/ML infrastructureSRE mindset and experience (whether or not under the SRE title) including:Defining and measuring SLIs/SLOsBuilding monitoring and observability systemsDriving performance and reliability improvementsDesigning fault-tolerant systems and automated testing strategiesProficiency in at least one modern programming language (Python, Go, Java, C++)Familiarity with Kubernetes or container orchestration platformsStrong collaboration and communication skillsAbility to thrive in a fast-paced, mission-driven environmentBonus Points:Experience scaling inference or training workloads for LLMsBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation:Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.LocationSan Francisco, CA - US; Bellevue, WA - US; Sunnyvale, CA - USEmployment TypeFull timeLocation TypeOn-siteDepartmentCloud Engineering