Crusoe is the industry’s first vertically integrated, purpose-built AI cloud platform. The company is redefining AI cloud infrastructure and its platform is recognized as the "gold standard" among bu…
Job Overview
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.
Key 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
Required Qualifications
Strong software engineering background — experience building production-grade systems beyond scripting or Bash
Demonstrated experience in distributed systems design and implementation
Hands-on work with large language models (LLMs) or AI/ML infrastructure
SRE mindset and experience (whether or not under the SRE title) including:
Defining and measuring SLIs/SLOs
Building monitoring and observability systems
Driving performance and reliability improvements
Designing fault-tolerant systems and automated testing strategies
Proficiency in at least one modern programming language (Python, Go, Java, C++)
Familiarity with Kubernetes or container orchestration platforms
Strong collaboration and communication skills
Ability to thrive in a fast-paced, mission-driven environment
Bonus Points
Experience scaling inference or training workloads for LLMs
Benefits
Industry competitive pay 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
