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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 this Role: Crusoe Cloud is seeking an Engineering Manager, Deployment to help lead the organization responsible for physically and logically bringing our global network online. As we rapidly scale our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will manage a deployment team's people, process, and delivery across a portion of our growing portfolio of concurrent global builds, working closely with Network Deployment technical leadership to execute against strategy. You're accountable for your team's output: every site, every quarter, at hyperscale pace. You build and grow your team, help drive adoption of deployment standards in day-to-day practice, and contribute to planning conversations with Data Center Ops, Supply Chain, and Site Reliability leadership. What You'll Be Working On: Build and Lead Your Team: Manage your team's structure and growth. Hire and develop Network Production Engineers across multiple sites and time zones. Drive Deployment Automation Adoption: Help execute the automation strategy across the deployment lifecycle, including ZTP-based provisioning, Ansible-driven configuration, and CI/CD pipelines for network turn-up. Hold your engineers accountable for replacing manual, repeatable steps with automated workflows as the site pipeline scales. Deliver Your Portion of the Portfolio: Be accountable for on-time, zero-defect delivery across your assigned site build-outs. Manage the operating cadence and staffing for your team within the broader program. Execute Against Strategy: Work with Network Deployment technical leadership to turn deployment strategy and standards into execution plans for your team, and surface field realities that should inform how those standards evolve. Report on Program Status: Provide program reporting and risk escalation on your team's work to Data Center Ops, Supply Chain, and Site Reliability leadership as needed. Manage Vendor and Partner Performance: Hold structured cabling vendors, remote hands, and data center providers to defined SLAs and quality bars for your sites. Escalate systemic partner issues. Champion Validation Rigor: Ensure burn-in and site acceptance testing (SAT) standards are consistently met across your sites. Partner with Operations leadership on handoff quality and root-cause resolution. Support Capacity Planning: Provide input to Supply Chain and Infrastructure leadership on hardware lifecycle, lead-time risk, and turn-up cadence for your team's site pipeline. Contribute to Continuous Improvement: Participate in cross-site retrospectives and post-incident reviews. Surface gaps in tooling, staffing, or process for your team. Develop Team Members: Coach engineers into stronger technical and people contributors. Apply Frontend Network Reference Architecture: Build sites against established reference architectures for the frontend GPU/compute fabric (leaf-spine design, RDMA/RoCE, optics, scale-out topology), and provide field feedback to Architecture as GPU generations and interconnect standards evolve. Apply Backend Network Reference Architecture: Build sites against established reference architectures for backend networks (storage fabric, management, out-of-band connectivity), ensuring your team's builds integrate cleanly with frontend fabric during turn-up. What You'll Bring to the Team: 6+ years of experience in network engineering or data center deployment, including 2+ years managing engineers in a large-scale infrastructure environment. Proven People Leadership: Track record of building and retaining a high-performing technical team. Program Execution: Demonstrated ability to deliver on multiple concurrent, complex projects spanning sites, time zones, and vendors, with solid reporting and risk management. Strong Technical Fluency: Solid grounding in physical layer standards (structured cabling, optics, 400G/800G and beyond), leaf-spine fabric (Arista/Juniper/NVIDIA-Mellanox), and protocols (BGP, EVPN-VXLAN, LLDP), enough to guide your team and engage credibly with Architecture. Automation Fluency: Working understanding of Python/Ansible/ZTP-based deployment automation and CI/CD patterns, sufficient to drive adoption within your team. Vendor and Partner Management: Experience holding external partners to SLAs, including escalation when performance slips. Clear Communication: Comfortable setting context and managing expectations with stakeholders across Ops, Supply Chain, and Architecture. Operational Judgment: Able to balance near-term delivery pressure against team health and sustainability. Education: Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $200,000 - $240,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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 This Role: Crusoe is on a mission to accelerate the abundance of energy and intelligence by building the world’s only vertically integrated AI infrastructure company from the ground up. As a Software Engineer on the Cloud Availability Platform team, you will help build Conductor—our self-driving control plane designed to predict, decide, and act autonomously to keep tens of thousands of accelerators running at peak efficiency. In this role, you will play a direct part in solving the AI compute energy bottleneck by treating power as a control input rather than a static constraint. Working alongside staff and principal engineers, you will have true ownership over greenfield services, building distributed systems that optimize power, cost, and useful compute in real time. This is a full-time position tailored for a problem-solving engineer who thrives in ambiguity and has a strong bias toward shipping. You will tackle rare infrastructure challenges—such as energy-aware compute scheduling, closed-loop remediation, and failure prediction on noisy hardware telemetry—transforming complex operational signals into a single, programmable control plane. If you are excited to build foundational infrastructure that turns tens of thousands of accelerators across sites into one cohesive, logical system, this role offers an unprecedented opportunity to do the most meaningful work of your career. Key Responsibilities: Core Responsibilities: Design, build, and operate greenfield distributed services, control planes, and closed-loop remediation systems that automatically drain, checkpoint, replace, and resume live AI workloads without manual intervention. Communication & Collaboration: Partner closely with staff and principal engineers to review architectures, establish safety rails for autonomous operations, and share technical knowledge across the cloud services team. Daily Interactions: Collaborate daily with cross-functional partners spanning hardware engineering, energy management, data center construction, and customer support to align system design with physical infrastructure. Key Contributions: Own the development of core platform features such as unified observability pipelines, energy-aware compute scheduling, straggler detection, and self-qualifying hardware pipelines to maximize overall system goodput. What You’ll Bring to the Team: Production Systems Experience: Minimum of 2+ years of experience building, shipping, and operating backend or infrastructure systems in production (e.g., distributed services, control planes, schedulers, or observability pipelines). Distributed Systems Foundations: Demonstrated mastery of state reconciliation, retries and idempotency, consistency tradeoffs, and autonomous automation on live infrastructure. Systems Programming Proficiency: Strong engineering fundamentals using a modern systems language such as Go, Rust, or C++. Problem-Solving & Ownership: High comfort level working through ambiguous problem statements, proposing clear designs, and driving features from concept to production. Shipping Mindset: A strong bias toward action and iterative delivery, favoring practical production software over over-engineered documentation. Educational Background: Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related technical discipline. Bonus Points: Hardware & HPC Familiarity: Hands-on experience or deep familiarity with GPU health telemetry, NVLink/InfiniBand/RoCE networking fabrics, or hardware thermal and power behavior. Observability Architecture: Prior experience designing scalable observability and telemetry pipelines that span compute, storage, and networking layers. Scheduler Internals: Familiarity or direct exposure to Kubernetes internals, Slurm, or other distributed orchestrator ecosystems. Statistical Methods & ML: Experience applying statistical methods, anomaly detection, or time-series forecasting to noisy operational data for predictive maintenance. Zero-Trust Security: Knowledge of zero-trust architectures, policy-based access systems, or automated multi-tenant audit streaming. Benefits: Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being, including pension contributions, private health and dental insurance, income protection, life assurance, and more. Compensation: Compensation will be paid as a salary or hourly. 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.

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 This Role The Cloud Network team at Crusoe is looking for a Software Engineer I to join our team building and operating cloud network infrastructure. This is a great opportunity for an early-career engineer to grow their skills in distributed systems and network engineering while contributing to high-performance, scalable, and reliable network solutions. You'll work alongside experienced engineers, learning cloud network primitives and network engineering concepts as you take on increasingly independent ownership of features and projects. What You'll Be Working On Contribute to Engineering Efforts: Work with your team on cloud network features, helping to implement well-scoped pieces of larger projects as defined by product and engineering leads. Software Development: Write clean, well-tested, maintainable code with guidance from senior engineers. Contribute to design documentation for the features you work on. Participate in testing and rollout of software across the stack, from bare metal to user-facing APIs. Technical Contribution: Take part in code reviews (both giving and receiving feedback), and participate in architecture and design discussions to build your understanding of the broader system. Continuous Learning: Actively grow your technical skills through mentorship, pairing, and collaboration with teammates. Ask questions, seek feedback, and build foundational knowledge in distributed network systems. Cross-Team Collaboration: Participate in team initiatives like tech talks, open source exploration, and book clubs to broaden your exposure to the engineering organization. What You'll Bring to the Team Foundational Technical Skills: Some hands-on experience (through internships, school projects, or ~1 year of professional work) with building or operating software systems; exposure to cloud infrastructure or distributed systems is a plus but not required. Software Engineering Fundamentals: Familiarity with core software engineering practices — coding standards, code reviews, source control (e.g., Git), testing, and basic CI/CD or build processes. Eagerness to learn and adopt team best practices. Technical Proficiency: Working knowledge of at least one programming language such as Java or Go. Basic understanding of Linux fundamentals and computer architecture concepts (willingness to deepen this knowledge on the job). Communication & Collaboration: Good communication skills and a collaborative mindset; comfortable asking questions and working closely with more senior engineers. Growth Mindset: Strong desire to learn network systems and distributed computing concepts, with a track record of picking up new technical skills quickly (coursework, personal projects, or prior roles). Bonus Points Coursework, personal projects, or internship experience involving network technologies or distributed systems. Exposure to networking protocols and technologies such as BGP, VXLAN, TCP/IP, or Open vSwitch (OVS). Any contributions to open source projects (school-related or personal). Basic understanding of networking concepts (physical or software-defined). Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $117,000 - $138,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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 This Role The Cloud Network team at Crusoe is looking for a Software Engineer I to join our team building and operating cloud network infrastructure. This is a great opportunity for an early-career engineer to grow their skills in distributed systems and network engineering while contributing to high-performance, scalable, and reliable network solutions. You'll work alongside experienced engineers, learning cloud network primitives and network engineering concepts as you take on increasingly independent ownership of features and projects. What You'll Be Working On Contribute to Engineering Efforts: Work with your team on cloud network features, helping to implement well-scoped pieces of larger projects as defined by product and engineering leads. Software Development: Write clean, well-tested, maintainable code with guidance from senior engineers. Contribute to design documentation for the features you work on. Participate in testing and rollout of software across the stack, from bare metal to user-facing APIs. Technical Contribution: Take part in code reviews (both giving and receiving feedback), and participate in architecture and design discussions to build your understanding of the broader system. Continuous Learning: Actively grow your technical skills through mentorship, pairing, and collaboration with teammates. Ask questions, seek feedback, and build foundational knowledge in distributed network systems. Cross-Team Collaboration: Participate in team initiatives like tech talks, open source exploration, and book clubs to broaden your exposure to the engineering organization. What You'll Bring to the Team Foundational Technical Skills: Some hands-on experience (through internships, school projects, or ~1 year of professional work) with building or operating software systems; exposure to cloud infrastructure or distributed systems is a plus but not required. Software Engineering Fundamentals: Familiarity with core software engineering practices — coding standards, code reviews, source control (e.g., Git), testing, and basic CI/CD or build processes. Eagerness to learn and adopt team best practices. Technical Proficiency: Working knowledge of at least one programming language such as Java or Go. Basic understanding of Linux fundamentals and computer architecture concepts (willingness to deepen this knowledge on the job). Communication & Collaboration: Good communication skills and a collaborative mindset; comfortable asking questions and working closely with more senior engineers. Growth Mindset: Strong desire to learn network systems and distributed computing concepts, with a track record of picking up new technical skills quickly (coursework, personal projects, or prior roles). Bonus Points Coursework, personal projects, or internship experience involving network technologies or distributed systems. Exposure to networking protocols and technologies such as BGP, VXLAN, TCP/IP, or Open vSwitch (OVS). Any contributions to open source projects (school-related or personal). Basic understanding of networking concepts (physical or software-defined). Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $117,000 - $138,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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: Crusoe is hiring a Developer Social & Content Manager to own our organic social presence end-to-end. Not just scheduling posts, but shooting and editing short-form video on-site at our offices and data centers, translating dense technical announcements (new GPU clusters, model training milestones, infrastructure launches) into content that lands with ML engineers, infrastructure leads, and AI researchers, and building a real following among the technical audience that actually cares about what we build. This is a hands-on role for someone who thinks like a creator first and a marketer second: comfortable pulling out a phone at a product launch or an industry event and coming back with something worth posting, comfortable enough with AI/infrastructure concepts to write copy that doesn't get laughed out of a technical Twitter/X reply thread, and organized enough to run a real editorial calendar across channels. What You'll Be Working On: Own Crusoe's social channels (X/Twitter, LinkedIn, YouTube, and emerging platforms) end-to-end: strategy, content calendar, publishing, and performance reporting. Shoot and edit short-form video yourself (on-site at data centers, at industry events, and in the office) no production crew required. Launch Crusoe's TikTok from scratch and create native platform-specific vertical content for YouTube Shorts and Instagram Reels. This is a video-first, platform-native role, not repurposed clips from longer content. Turn technical source material (product launches, research/benchmark results, executive commentary, customer stories) into social-native content that's accurate enough to hold up under scrutiny from a technical audience yet engaging enough to hold their attention. Build and maintain relationships with AI/infrastructure creators, researchers, and technical journalists to expand organic reach. Build social-native funnels that go beyond awareness. Use automation to move engaged followers through the same capture, nurture, convert logic we run on web, adapted to how people actually behave on each platform. Source, brief, and manage a roster of contractors, freelance creators, and influencers who extend our content and campaign output, and build a user-generated content (UGC) pipeline that gets Crusoe's story told by voices beyond our own channels. Monitor real-time AI/infrastructure conversation and react quickly when Crusoe has something relevant to add. Partner with product, engineering, and exec stakeholders to source technical content and keep messaging accurate. Be a fast, reliable partner to teams outside marketing who all lean on social for their own moments: People & Recruiting, Field Marketing/Events, PR/Comms, Workplace, and Exec/Leadership. Track engagement, reach, share of voice (SOV), and follower growth against goals; report on what's working and adjust. Represent Crusoe's brand voice: technical, credible, confident, humble, optimistic What You'll Bring to the Team: 4+ years managing social media for a technical, developer-facing, or B2B tech brand. AI/ML/infrastructure/cloud experience strongly preferred. A portfolio of short-form video you've shot and edited yourself (phone-shot is fine - we care about instinct and pacing, not production value). Genuine fluency with AI/ML and infrastructure concepts. You don't need to have trained a model, but you should be able to read a technical launch and know what's actually interesting about it. Strong writing chops! You can write a thread that a CTO would retweet and an ML engineer wouldn't roast. Experience running a multi-channel editorial calendar and reporting on performance. Comfortable working independently, moving fast, and reacting to news in real time. Intense operational rigor: strong attention to detail and organizational skills, with the ability to juggle multiple projects, requests, and posts at once without dropping the ball. Bonus Points Experience with community platforms (Discord, Reddit, Hacker News) relevant to the developer/AI audience and social media management tools like Sprout Social. Existing relationships with AI/infrastructure creators, journalists, or influencers. Basic motion graphics/editing skills (CapCut, Premiere, After Effects, or similar). Prior experience at a GPU cloud, hyperscaler, or AI infrastructure company. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $130,000 - $160,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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: Crusoe is hiring a Developer Social & Content Manager to own our organic social presence end-to-end. Not just scheduling posts, but shooting and editing short-form video on-site at our offices and data centers, translating dense technical announcements (new GPU clusters, model training milestones, infrastructure launches) into content that lands with ML engineers, infrastructure leads, and AI researchers, and building a real following among the technical audience that actually cares about what we build. This is a hands-on role for someone who thinks like a creator first and a marketer second: comfortable pulling out a phone at a product launch or an industry event and coming back with something worth posting, comfortable enough with AI/infrastructure concepts to write copy that doesn't get laughed out of a technical Twitter/X reply thread, and organized enough to run a real editorial calendar across channels. What You'll Be Working On: Own Crusoe's social channels (X/Twitter, LinkedIn, YouTube, and emerging platforms) end-to-end: strategy, content calendar, publishing, and performance reporting. Shoot and edit short-form video yourself (on-site at data centers, at industry events, and in the office) no production crew required. Launch Crusoe's TikTok from scratch and create native platform-specific vertical content for YouTube Shorts and Instagram Reels. This is a video-first, platform-native role, not repurposed clips from longer content. Turn technical source material (product launches, research/benchmark results, executive commentary, customer stories) into social-native content that's accurate enough to hold up under scrutiny from a technical audience yet engaging enough to hold their attention. Build and maintain relationships with AI/infrastructure creators, researchers, and technical journalists to expand organic reach. Build social-native funnels that go beyond awareness. Use automation to move engaged followers through the same capture, nurture, convert logic we run on web, adapted to how people actually behave on each platform. Source, brief, and manage a roster of contractors, freelance creators, and influencers who extend our content and campaign output, and build a user-generated content (UGC) pipeline that gets Crusoe's story told by voices beyond our own channels. Monitor real-time AI/infrastructure conversation and react quickly when Crusoe has something relevant to add. Partner with product, engineering, and exec stakeholders to source technical content and keep messaging accurate. Be a fast, reliable partner to teams outside marketing who all lean on social for their own moments: People & Recruiting, Field Marketing/Events, PR/Comms, Workplace, and Exec/Leadership. Track engagement, reach, share of voice (SOV), and follower growth against goals; report on what's working and adjust. Represent Crusoe's brand voice: technical, credible, confident, humble, optimistic What You'll Bring to the Team: 4+ years managing social media for a technical, developer-facing, or B2B tech brand. AI/ML/infrastructure/cloud experience strongly preferred. A portfolio of short-form video you've shot and edited yourself (phone-shot is fine - we care about instinct and pacing, not production value). Genuine fluency with AI/ML and infrastructure concepts. You don't need to have trained a model, but you should be able to read a technical launch and know what's actually interesting about it. Strong writing chops! You can write a thread that a CTO would retweet and an ML engineer wouldn't roast. Experience running a multi-channel editorial calendar and reporting on performance. Comfortable working independently, moving fast, and reacting to news in real time. Intense operational rigor: strong attention to detail and organizational skills, with the ability to juggle multiple projects, requests, and posts at once without dropping the ball. Bonus Points Experience with community platforms (Discord, Reddit, Hacker News) relevant to the developer/AI audience and social media management tools like Sprout Social. Existing relationships with AI/infrastructure creators, journalists, or influencers. Basic motion graphics/editing skills (CapCut, Premiere, After Effects, or similar). Prior experience at a GPU cloud, hyperscaler, or AI infrastructure company. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $130,000 - $160,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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: As the Director of Engineering - Cloud Compute, you will play a pivotal role in building our foundational IaaS offerings and accelerate the development of our carbon-reducing, AI focused cloud platform. Leveraging your extensive experience in cloud computing, you will lead complex engineering initiatives, mentor engineers, and collaborate closely with cross-functional teams to deliver scalable and reliable cloud compute solutions. Our customers include rapidly growing AI companies and enterprise AI teams who use our high performance GPU compute products with VPC and cluster networking technology. We’re now adding broad new compute and virtualization capabilities to meet the needs of our growing customer base. What You'll Be Working On: Serve as a team lead for cloud compute engineering at Crusoe Cloud, collaborating with leadership to define and implement the long-term road map and strategy for the team Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks Scale the team, including managing engineer onboarding, growing or hiring managers, and implementing team and org processes. Stay aware of the latest trends and techniques in cloud software, incorporating these insights to maintain Crusoe’s market-leading offerings Drive the hiring process to attract top talent, and implement strategies to retain and develop these professionals What You'll Bring to the Team: 7+ years of engineering management experience, 10+ years of experience working in software engineering In-depth understanding of Compute products (CPU, GPU, ASIC accelerators) and how customers consume them Understanding of key hypervisors and virtualization technologies (eg KVM, VMware ESXi, Microsoft Hyper-V) and how they enable cloud computing. Familiarity with AI/ML workloads and how they drive compute requirements for the cloud data center. Proven experience in building and maintaining scalable and highly available fault-tolerant distributed systems and application architectures Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Strong analytical and problem-solving skills Excellent communication and collaboration skills Bonus Points Proven track record of operating production infrastructure to strict SLOs and SLAs, leveraging fleet-wide observability and monitoring to drive reliability, optimization, and capacity planning Deep expertise in Linux environments, configuration management, and modern deployment automation to ensure safe, scalable rollouts across large-scale compute fleets Demonstrated leadership in ambiguous, fast-moving environments,bringing structure, clarity, and cross-functional alignment during periods of rapid organizational growth Active open-source or upstream contributions to cloud infrastructure, containerization, or virtualization technologies (e.g., KVM, QEMU, containerd, Kubernetes) Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $285,000 - 335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

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 This Role: Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data Science and Engineering team. This is a full-time, strictly on-site role based out of our Sunnyvale, CA or San Francisco office; remote work arrangements are not eligible for this position. This full-time position offers you the unique opportunity to architect and build the foundational data platform infrastructure that powers Crusoe's AI and cloud operations. You'll go beyond building pipelines—you'll design and implement the systems that make those pipelines possible, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: Architect Data Platform Infrastructure: Design and build scalable, reliable data infrastructure systems that serve as the foundation for analytics, machine learning, and operational intelligence across Crusoe. Build High-Performance Data Systems: Develop robust data processing frameworks and storage solutions optimized for the unique demands of AI infrastructure and cloud operations. Champion Data Quality & Reliability: Implement data validation, monitoring, and observability systems that ensure data integrity and platform reliability at scale. Collaborate Across Engineering Teams: Partner with software engineers, data scientists, and operations teams to understand requirements and deliver infrastructure that accelerates their work. Drive Technical Excellence: Establish best practices for data engineering, contribute to architectural decisions, and mentor team members as the team grows. What You'll Bring to the Team: Strong Software Engineering Foundation: Demonstrate proficiency in Python and at least one systems-level language (Go preferred; Java, C, or C++ also valued), with the ability to write production-quality, maintainable code. Data Infrastructure Expertise: Possess deep experience designing and building data platforms, including data warehouses, data lakes, streaming systems, and ETL/ELT frameworks. Distributed Systems Knowledge: Show understanding of distributed computing principles, with experience building systems that scale reliably. SQL Mastery: Exhibit advanced SQL skills for data modeling, query optimization, and database design. Infrastructure-as-Code Mindset: Demonstrate familiarity with modern DevOps practices including CI/CD, containerization, and infrastructure automation. Ownership & Autonomy: As an early hire on the data engineering team, you'll be expected to drive projects from conception to production with minimal supervision. Collaboration Skills: Communicate effectively with technical and non-technical stakeholders to translate requirements into robust solutions. Minimum Educational Requirement: Bachelor’s degree (or foreign equivalent) in Computer Science, Data Engineering, Information Systems, or a closely related technical field. Minimum Experience: 5+ years of progressive, post-baccalaureate experience in software engineering, data infrastructure engineering, or a related role. Bonus Points: Experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Experience with Apache Beam. Background in building infrastructure for AI/ML workloads or cloud computing platforms. Experience on a growing or early-stage data team, contributing to foundational development. Familiarity with data orchestration tools (e.g., Airflow, Dagster, Prefect). Experience with real-time data processing and streaming architectures. Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of up to $170,000 - $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, 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.