Crusoe
Data AI · GPU cloud / AI infra
- HQ
- Denver, US
- Founded
- 2018
- Website
- crusoe.ai
Crusoe currently has 14 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 36% of the openings, followed closely by roles in agents and post-training, each representing 29%. Engineering is the primary function being hired for, with 13 positions available, while Product has one opening. Frequent technical tags include model serving, inference infrastructure, and fine-tuning, suggesting a focus on AI model deployment and optimization. Over the last 30 days, Crusoe has posted 2 new AI roles, a 50% decrease compared to the previous 30-day period.
Currently tracking 12 active AI roles, with 98 new openings in the last 4 weeks. Primary focus: Serve · Engineering. Salary range $172k–$355k (avg $249k).
Crusoe currently has 20 active AI-related roles in our index. The most common open titles are: Enterprise IT Architect, Principal Systems Software Engineer, Senior Director, AI Model LifeCycle, Senior Engineering Manager, Managed Platform Services, Senior Engineering Manager, Management Plane Systems. Most positions are in Engineering and Product.
Crusoe's active AI hiring is concentrated in: serving infrastructure (50%), agents (25%), post-training (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Crusoe is hiring AI talent in: United States (1 role).
Job postings at Crusoe most frequently reference: model serving, inference infra, llm observability, fine tuning, agent orchestration.
In the past 30 days, Crusoe has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Director, AI Model LifeCycle Senior Director role focused on establishing a team and platform for the entire ML model application development lifecycle, with an emphasis on LLMs. Responsibilities include managing fine-tuning systems, end-to-end training pipelines, distillation, and dataset/model management. | Post-trainData | 9 |
| Senior Staff Software Engineer, AI Model LifeCycle Senior Staff Software Engineer focused on building and managing the AI model lifecycle, including fine-tuning, training, and dataset management for large foundation models and LLMs. | Post-trainData | 9 |
| Senior Software Engineer, AI Model LifeCycle This role focuses on building and managing a platform for the AI model lifecycle, specifically for Large Language Models (LLMs). Responsibilities include managing fine-tuning systems (SFT, PEFT, LoRA, adapters), implementing training pipelines, handling distillation and reinforcement learning (RLHF, RLAIF), and managing datasets, models, and experiments. The role requires experience in Generative AI, training/fine-tuning/aligning LLMs, and ideally experience with performance optimizations on GPU systems and inference frameworks. | Post-trainData | 9 |
| Staff Software Engineer, AI Model LifeCycle Staff Software Engineer focused on building a managed platform for the AI model lifecycle, including fine-tuning, training pipelines, and dataset/model management for LLMs and multimodal models. | Post-trainData | 9 |
| Staff Product Manager, Managed Intelligence (SF/Sunnyvale) Product Manager for Crusoe Cloud's Managed Intelligence services, focusing on defining, building, and scaling AI and agentic capabilities. The role involves strategic roadmap execution, market growth, customer advocacy, and defining the model lifecycle from data ingestion to inference and agentic workflows, bridging research and product for AI-native companies. | AgentPost-train | 9 |
| Principal Systems Software Engineer Principal Systems Architect role focused on designing and leading the development of next-generation AI infrastructure, specifically the I/O path for massive-scale AI workloads. This involves unifying Bare-Metal-as-a-Service, Intelligent IaaS, and Elastic CaaS, optimizing hardware-software co-design, and leading R&D teams to ship production-grade kernel and orchestration code. The role requires deep expertise in Linux kernel, virtualization, high-performance networking, and experience from hyperscale environments. | ServeAgent | 8 |
| Staff Enterprise AI Automation Engineer Staff Enterprise AI Automation Engineer to design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. Operates at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model. | Agent | 8 |
| Staff Technical Program Manager Staff Technical Program Manager for Crusoe's Managed Inference platform, focusing on end-to-end program delivery, model onboarding, inference optimization, and production readiness for LLM workloads. The role requires deep familiarity with LLM serving, optimization, and evaluation in production, coordinating across model engineering, IaaS, and operations. | ServePost-train | 7 |
| Senior Production Engineer Senior Production Engineer role focused on ensuring the reliability and scalability of Crusoe's AI-optimized cloud platform, with a strong emphasis on operating managed AI services, distributed AI pipelines, and inference services at scale. The role involves building automation, defining/improving SLIs/SLOs, and optimizing large-scale training and inference clusters. | Serve | 7 |
| Senior Staff Solutions Engineer (NYC) Senior Staff Solutions Engineer for Crusoe Cloud, focusing on enabling enterprise customers to deploy and optimize AI/ML workloads on high-performance GPU infrastructure. Requires deep technical expertise in Kubernetes, MLOps, and cloud infrastructure, with a customer-facing role to guide customers through end-to-end deployment and serve as a technical liaison. | ServeAgent | 7 |
| Staff Technical Program Manager, Managed Intelligence Staff Technical Program Manager for Crusoe's Managed Intelligence platform, focusing on end-to-end program delivery for LLM inference, model onboarding, and optimization. The role requires deep familiarity with LLM serving, optimization, and production readiness, coordinating across multiple engineering and operations teams to build and scale the inference platform. | Serve | 7 |
| Systems Engineer II, Compute Crusoe is an AI infrastructure company building and operating compute platforms for AI workloads. This Systems Engineer II role focuses on designing, developing, and optimizing the compute platform, specifically for virtualized AI platforms. Responsibilities include managing virtualization stacks across thousands of servers, integrating with AI hardware, optimizing performance for AI/ML workloads, and troubleshooting complex system issues. The role requires strong Linux systems knowledge, hardware integration experience, distributed systems design, and software development skills. | Serve | 7 |
| Staff Software Engineer This role focuses on developing software for managing a fleet of GPU servers and data centers, with an emphasis on diagnostics, observability, automation, and repair tooling for high-performance GPU compute clusters. It involves developing AI agents for hardware diagnosis and remediation, and tooling for critical environment management and post-repair validation. | ServeAgent | 7 |
| Senior Staff Cloud Support Engineer Senior Staff Cloud Support Engineer role focused on supporting and improving AI/ML infrastructure, including GPU clusters, distributed training, and inference. The role involves technical leadership, incident response, reliability architecture, and customer-facing authority, with a strong emphasis on Kubernetes, networking (Infiniband, RDMA, RoCE), and Linux systems. | ServeAgent | 7 |
| Staff Product Security Engineer Staff Product Security Engineer with AI/ML security expertise to strengthen security posture across applications, infrastructure, and distributed AI systems. Focuses on advanced penetration testing, AI/ML attack surface research, and building secure-by-design guardrails for AI systems including LLM pipelines, vector databases, RAG, and agentic workflows. | Agent | 7 |