Crusoe

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.

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.

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.

Staff Product Manager for Orchestration at Crusoe, an AI infrastructure company. The role focuses on defining and owning the foundational orchestration services for large-scale AI workloads (training, fine-tuning, inference) on their AI cloud. This involves managing Kubernetes offerings and underlying infrastructure, balancing reliability, scale, and platform implications, and driving product lifecycle end-to-end. Requires deep technical fluency in orchestration systems and cloud infrastructure, with a strong product management background.

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.

Product Manager for Cloud Storage (Block, File, Object) at an AI infrastructure company. Focuses on defining product strategy, roadmap, and requirements, collaborating with engineering and go-to-market teams, and managing vendor relationships. The role is within a company that provides AI infrastructure but the role itself is not directly building AI models or systems.

Product Manager for Cloud Storage (Block, File, Object) at an AI infrastructure company. Focuses on defining product strategy, roadmap, and launch for storage services integrated into their IaaS portfolio, managing vendor relationships and collaborating with engineering and go-to-market teams. The company's mission is to accelerate energy and intelligence through vertically integrated AI infrastructure.

This role is for an Enterprise Account Executive at Crusoe, an AI infrastructure company. The primary focus is on acquiring key enterprise accounts in the AI/ML cloud infrastructure market, managing the full sales cycle, and building long-term client relationships. The role requires experience in enterprise sales, understanding of AI/ML cloud solutions, and the ability to drive revenue growth by closing high-value deals.

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 focused on originating and developing GW-scale energy and infrastructure projects to support next-generation compute campuses for AI workloads. The Director of Commercial Development will drive execution across all aspects of these projects, define strategic plans for growth, and ensure the siting and scaling of infrastructure. The role involves working with internal technical teams and external partners to site, design, and deliver power and land for energy-intensive AI compute deployments, including high-density GPU data centers. It also includes strategic project development, deal execution, cross-functional collaboration, market and regulatory analysis, power sourcing, relationship management, contract negotiation, interconnection, and compliance.

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 is for a Senior Manager of Communications at an AI infrastructure company. The primary focus is on managing the company's public narrative at the intersection of energy and AI, translating complex technical topics into compelling stories, and building relationships with media and influencers. The role requires a strong understanding of AI and its applications, with an emphasis on using AI tools within the communications workflow.

This role is a Business Development position focused on strategic initiatives within an AI infrastructure company. The primary responsibility is to act as a bridge between AI labs and internal product/engineering teams, translating complex technical requirements into product roadmap and capacity planning. The role involves orchestrating large-scale compute and managed inference deals, integrating customer needs into the platform, and driving go-to-market strategies for new offerings. It requires a blend of commercial acumen and technical expertise in cloud infrastructure, AI workloads, and distributed computing.

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 Director of Product Marketing for an AI infrastructure company. This role focuses on understanding customer needs, market trends, and competitive dynamics to influence product strategy and go-to-market efforts. The individual will act as the voice of the customer, translate technical capabilities into compelling messaging, and lead a product marketing team. Requires deep understanding of AI and cloud infrastructure, and experience engaging technical audiences.

This role is for a Senior Director of Product Marketing at an AI infrastructure company. The individual will be responsible for understanding customer needs, competitive dynamics, and market trends to inform product strategy and go-to-market efforts. They will act as the voice of the customer, translate technical capabilities into compelling narratives, and build cross-functional credibility with product, engineering, and sales teams. The role requires deep technical understanding of AI and cloud infrastructure, and experience engaging with technical audiences.

Product Manager responsible for defining and delivering Crusoe Cloud's core compute offerings, including GPU and CPU infrastructure, bare metal, virtualized compute, and orchestration layers that power AI training and inference workloads. This role owns the strategy and execution of compute capabilities that form the foundation of Crusoe’s IaaS and Managed AI services.

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.

Manager on the Strategy team for an AI infrastructure company. Responsible for screening new opportunities, leading in-depth evaluations, and driving cross-functional work to bring strong concepts to life. This role owns initiatives end-to-end, presents findings directly to the C-suite, and shapes company investments. Blends strategic analysis with operational execution, requiring comfort with financial modeling and leading cross-functional groups. Requires staying current on market trends and emerging technologies in the AI infrastructure landscape.

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.

Senior Customer Success Manager role focused on helping clients maximize value from AI infrastructure solutions, providing technical guidance and support, and acting as a liaison between clients and technical teams.

This role is for a Head of EMEA Partnerships at an AI infrastructure company. The primary focus is on driving regional go-to-market acceleration by building and executing partnership strategies with startups, channel partners, and SIs. The role involves adapting global playbooks for local execution, identifying opportunities, and collaborating with sales and other teams to drive partner-sourced pipeline and bookings. While the company is in the AI infrastructure space, this specific role is focused on business development and partnerships, not direct AI/ML development.

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.