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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This role focuses on ensuring the reliability, scalability, and performance of Crusoe's GPU cloud platform that powers AI and HPC workloads. The Production Engineer will be responsible for defining and evolving availability metrics, participating in incident response, building and improving observability tools, identifying reliability risks, and developing automation to reduce operational toil and improve recovery times. The role involves partnering with various infrastructure teams to strengthen service resilience and disaster recovery capabilities.

The Technical Program Manager, R&D will drive programs evaluating and advancing next-generation AI data center technologies. This role involves managing initiatives from early-stage evaluations and partnerships through pilot-scale validation and production handoff, coordinating across R&D, engineering, and external partners. The focus is on operational execution and ensuring R&D outputs are validated and ready for hyperscale deployment.

This role is for a Senior Storage Engineer responsible for the administration, scaling, and operational excellence of high-performance all-flash storage ecosystems (VAST Data or Pure Storage) to support AI training and HPC workloads. The engineer will ensure sub-millisecond latency and high-throughput data backbone for GPU clusters, manage data protection, and automate provisioning.

This role is for a Senior Manager of Customer Support at an AI infrastructure company. The focus is on leading a team of Support Engineers to resolve complex technical issues for customers using Crusoe Cloud for AI/ML workloads. Responsibilities include hiring, coaching, building scalable processes, and collaborating with other teams to improve customer experience and product offerings. The role requires deep understanding of cloud infrastructure, GPU compute, and AI/ML fundamentals, with a strong emphasis on leadership and customer advocacy.

This role focuses on validating large-scale, multi-node GPU clusters using virtualization technologies like QEMU and Cloud Hypervisor. The engineer will test high-performance interconnects (NVLink, InfiniBand) and collective communication libraries (NCCL/RCCL) to ensure efficient scaling and low-latency communication for AI and HPC applications. Responsibilities include designing and executing scaling tests, validating hypervisor configurations (PCIe passthrough, IOMMU), benchmarking communication libraries, and developing automation frameworks for testing and performance analysis.

Software Engineer, Control Plane role at Crusoe, an AI infrastructure company. The role focuses on building and scaling the control plane for Crusoe Cloud's AI-optimized compute, network, and storage resources. Responsibilities include developing microservices, implementing IaaS primitives, collaborating with other teams, and ensuring operational excellence for high-availability systems managing AI workloads.

This role supports the day-to-day execution of a Governance, Risk, and Compliance program, focusing on operational compliance activities such as user access reviews, evidence collection, customer trust support, and vendor risk management. The analyst will maintain continuous compliance posture by supporting audits, updating policies, responding to customer security inquiries, and improving GRC processes. A key aspect of the role involves leveraging AI tools to streamline GRC activities and identifying opportunities for process improvement.

Senior API Integration Engineer to drive enterprise-wide digital transformation through intelligent automation and scalable system integrations using Workato. This role will lead design and delivery of integrations across the People Tech ecosystem, setting standards, mentoring engineers, and partnering with business leaders.

Staff Storage Engineer responsible for the architecture and operation of the data layer for an AI cloud. This role involves managing the end-to-end lifecycle of storage environments, performance analysis and optimization, validation and testing of new storage technologies, and influencing vendor roadmaps to support AI training and inference workloads.

This role focuses on building and operating the intelligence layer for GPU node assignment, monetization, and management within an AI infrastructure company. It involves designing and implementing systems for physical infrastructure classification, capacity management, and automation, with a strong emphasis on distributed systems, reliability, scalability, and security. The role requires setting technical vision, architectural decisions, and influencing engineering culture.

Staff Security Engineer focused on Detection & Response, architecting defense strategies, tuning correlation models, and integrating AI into response workflows. Requires extensive cyber experience, Detection as Code mastery, cloud proficiency, and Python scripting.

This role focuses on data analysis, reporting, and systems intelligence within Total Rewards, with an emphasis on building automated solutions and exploring AI-enabled tools to improve team efficiency. The primary focus is on data and reporting infrastructure, with secondary involvement in financial modeling and automation.

Staff Software Engineer role focused on building and scaling customer-facing managed services for Crusoe Cloud, an AI infrastructure company. The role involves designing, developing, and operating edge agents and platform services, with a strong emphasis on systems programming, Linux kernel metrics (eBPF), Kubernetes, and reliability. The engineer will provide technical leadership and collaborate across infrastructure teams to ensure the smooth delivery and operation of these critical customer-facing components.

Crusoe is an AI infrastructure company that owns and operates its own hardware and energy resources to power AI workloads. This role focuses on ensuring the reliability and stability of their GPU hardware platform through hands-on diagnosis, repair, and automation development for fleet management and maintenance.

This role is for a Senior Staff Engineer in Data Center Operations at Crusoe, an AI infrastructure company. The engineer will be responsible for the technical architecture and strategic direction of data center operations, focusing on operational maturity, technical governance, and the systems that support AI workloads. Key responsibilities include overseeing technical health, developing dashboards for KPIs, defining fleet supportability and tooling, strategizing power topology, architecting business continuity and disaster recovery plans, providing technical advisory, and serving as a final technical escalation point. The role requires deep expertise in data center operations, hardware architecture (especially NVIDIA GPUs), and data-driven leadership.

This Enterprise IT Architect role focuses on designing and evolving the company's enterprise technology ecosystem, with a strong emphasis on integrating AI capabilities and building AI-powered automation workflows. The role involves architecting SaaS platforms, defining integration patterns, and evaluating emerging AI technologies like AI agents and LLM integrations to accelerate business velocity and maintain a strong security posture.

This role is for a Principal Systems Integration Engineer in R&D at Crusoe, an AI infrastructure company. The engineer will be responsible for defining the future of the company's data center architecture, evaluating next-generation technologies, and leading the development of system-level integration concepts from pilot-scale validation to hyperscale deployment. The role involves working at the intersection of electrical, mechanical, thermal, and compute domains, scanning the industry for emerging technologies, and partnering with engineering teams to bring R&D concepts to production.

Senior Staff Technical Program Manager for an AI infrastructure company focused on accelerating energy and intelligence. The role involves owning programs related to IaaS products, GPU generation introductions, and cross-functional initiatives. The TPM will shape program execution frameworks, manage capacity planning, and mentor other TPMs, with a focus on AI tool integration for program management.

This role manages engineers building and optimizing the compute infrastructure for AI workloads, focusing on virtualization, bare-metal provisioning, and hypervisor tuning. The team's work directly impacts the performance and cost-efficiency of AI compute for enterprises and researchers, aiming to scale a specialized cloud from the ground up.

Senior Data Engineer to architect and build foundational data platform infrastructure for AI and cloud operations. Focus on scalable systems, data quality, and collaboration.

Director, Technical Recruiting role at Crusoe, an AI infrastructure company. This leadership position focuses on scaling the technical recruiting function to meet aggressive growth demands across Product, Engineering, IT, and Security. Responsibilities include building and developing a recruiting team, partnering with leadership, evolving recruiting models, using data for performance diagnosis, and adopting AI tools to enhance efficiency. Requires 10+ years of experience in talent acquisition, with a focus on building and scaling technical recruiting functions in high-growth environments, managing managers, and using data-driven approaches.

Crusoe is seeking a Principal Production Engineer to own the reliability, scalability, and operational excellence of their cloud infrastructure, which powers AI workloads. This role involves defining SLOs, leading incident response, building observability tools, driving platform reliability improvements, and setting technical standards for the production engineering organization. The ideal candidate has extensive experience in infrastructure and data center operations, with a strong understanding of distributed systems and the ability to write code for automation and tooling.

Staff Cloud Hypervisor R&D Engineer to architect and implement a next-generation virtualization stack optimized for massive-scale GPU fleets, aiming to eliminate the virtualization tax and deliver bare-metal performance for AI/ML workloads.

This role focuses on building automation and tooling for a Governance, Risk, and Compliance (GRC) program within an AI infrastructure company. The engineer will replace manual compliance workflows with code-driven systems, integrate GRC platforms, build dashboards, and embed compliance checks into engineering pipelines. A key aspect involves applying AI and LLM tools to streamline GRC processes. While not a core AI development role, it utilizes AI tools to enhance operational processes and is within an AI-focused company.

Engineering Manager for Production Engineering team at Crusoe, an AI infrastructure company. The role focuses on leading SREs to ensure the reliability and scalability of AI infrastructure offerings like Kubernetes, Inference, and AutoClusters for enterprise customers. Responsibilities include driving reliability improvements, managing incident response, and contributing as an individual contributor to tooling and automation.

Seeking a Hardware Production / Sustaining Engineer to manage the full hardware lifecycle of high-performance compute systems, focusing on debugging, validation, and production support for AI workloads. The role involves driving automation, deep issue resolution, and reliability across GPU- and CPU-based infrastructure, with specific expertise in PCIe, InfiniBand, and NVMe/storage.

Seeking a Staff Hardware Systems Engineer to manage the full hardware lifecycle of high-performance compute systems, focusing on debugging, validation, and production support for AI workloads. This role involves developing automation frameworks and deep troubleshooting of PCIe, InfiniBand, and NVMe/storage systems to ensure reliability and performance of Crusoe Cloud's AI-first infrastructure.

This role is for an Atlassian Cloud Engineer who will be the primary administrator and strategic owner of the Atlassian ecosystem (Jira, Confluence, etc.). The role involves customizing workflows, designing reporting, and acting as an escalation point. A key responsibility is driving AI initiatives within the Atlassian ecosystem, including building custom agents using Atlassian Rovo and implementing the Rovo MCP server. The company is an AI infrastructure company focused on accelerating energy and intelligence.

Senior API Integration Engineer to drive enterprise-wide digital transformation through intelligent automation and scalable system integrations, focusing on Workday HCM and leveraging AI-powered automation within Workato.

This role is responsible for managing incidents and customer escalations related to AI compute infrastructure, focusing on service reliability and customer trust. The Incident Manager will lead crisis responses, utilize data analytics to improve system resiliency, and collaborate with engineering teams to resolve complex technical issues. The role also involves developing preventative strategies and educating customers on optimizing their HPC infrastructure.

Crusoe is building vertically integrated AI infrastructure, focusing on energy-first data centers. This role is for a Data Center Systems Engineer who will bridge physical infrastructure (power, cooling, networking) with AI compute, ensuring their modular data centers are optimized for demanding AI workloads. The role involves system convergence, power architecture, network fabric integration, thermal management, and supporting the transition to liquid cooling, with a focus on manufacturability and technical support.

Crusoe is an AI infrastructure company building a new cloud platform from the ground up to power AI workloads. This internship focuses on system development, product creation, and production support for this platform, with opportunities to work on projects in AI, graphics rendering, and computational biology. The role requires strong CS fundamentals and programming skills, with bonus points for AI interest.

This role provides technical support for Crusoe Cloud's GPU compute power, focusing on customer success and troubleshooting issues related to managed inference, VMs, and hardware. It involves working with various cloud and HPC technologies to ensure customers can leverage the platform for AI/ML and other demanding workloads.

Crusoe is an AI infrastructure company building a GPU cloud for AI workloads. This role focuses on Production Engineering and Operational Excellence to ensure the reliability, scalability, and performance of their GPU cloud platform. The engineer will lead efforts in defining availability metrics, driving incident response, architecting observability, identifying reliability risks, and developing automation for large-scale distributed systems supporting AI and HPC workloads.

Senior Product Security Engineer role focused on building secure frameworks and controls for AI infrastructure and distributed systems, shipping production code, and integrating security into developer workflows.

Senior Cloud Support Engineer role at Crusoe, an AI infrastructure company. Responsibilities include providing technical support to customers using Crusoe Cloud for AI/ML and other high-performance computing workloads, troubleshooting issues, managing alerts, and collaborating with internal teams. Requires strong Linux, cloud, and customer support experience.

Crusoe is an AI infrastructure company seeking a Staff Software Engineer to lead the architecture and evolution of their observability platform at scale. This role involves defining and driving the strategy for telemetry collection, processing, and utilization across their global cloud infrastructure, which supports high-volume AI/ML, GPU, and distributed workloads. The engineer will architect and operate scalable telemetry systems (metrics, logs, traces) and drive adoption of monitoring tools like Prometheus, Grafana, and OpenTelemetry, ensuring the platform's reliability, efficiency, and scalability.

This role is for a Staff Software Engineer focused on cloud software and infrastructure, specifically managing and scaling Kubernetes and AI training clusters. The role involves writing code, contributing to architecture, evaluating tools, and ensuring the reliability and performance of the infrastructure. While the company operates in the AI infrastructure space, the core responsibilities of this specific role are centered around software engineering and infrastructure management, not direct AI/ML model development or research.

This role is for an Inventory & Logistics Lead responsible for overseeing inventory control operations in a manufacturing environment. Key responsibilities include leading daily cycle counting, managing ERP/WMS systems, coordinating material delivery to production, planning annual physical inventory, and ensuring safety compliance. The role requires advanced inventory control experience, ERP/WMS proficiency, and strong attention to detail.

This role is for an OFCI Manager responsible for the end-to-end delivery and integration of Owner-Furnished Contractor-Installed equipment for hyperscale data center campuses. The role involves managing the lifecycle of critical assets, strategic logistics, technical coordination, QA/QC, stakeholder alignment, modular system integration, risk mitigation, and operational handoff. The ideal candidate has experience in mission-critical data center or heavy industrial construction, deep technical knowledge of electrical and mechanical systems, and proficiency with construction management tools.