--- title: 'Staff Engineer, Crusoe Managed Data Transfer (Distributed Systems) at Crusoe' canonical: 'https://feeny.ai/job/staff-engineer-crusoe-managed-data-transfer-distributed-systems-crusoe-san-3mtfcserv33y' type: 'job' last_seen: '2026-10-30' --- # Staff Engineer, Crusoe Managed Data Transfer (Distributed Systems) at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-10-30 - **Apply:** https://jobs.ashbyhq.com/crusoe/1d2e246c-bef2-48d1-aaf4-789120921851 ## Job description 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: We are looking for a Staff Engineer to be the technical lead and systems architect for Crusoe's Managed Data Transfer (MDT) service, the person who owns how its parts fit together and how MDT fits into Crusoe Cloud. MDT moves petabyte-scale training data between hyperscaler storage and Crusoe storage as a managed service, so AI labs and Physical AI companies can train on Crusoe GPUs without building their own transfer pipelines. You will design the control plane, the transfer worker fleet and the integration with Crusoe's storage and network, and set the path for adding other clouds and Crusoe-internal transfers. This is an engineering leadership role on a new team. Managed Data Transfer starts from a working prototype that already serves customers in production, so your first decisions are about what to keep, harden or replace, and how to sequence that work without disrupting the customers who depend on it. You will lead the design through Crusoe's architecture review, mentor the engineers who build it, and report to the Engineering Manager of Managed Data Transfer within Managed platform services. What You'll Be Working On: - Architecture Ownership: Own the end-to-end design of MDT: the job API and scheduler, the transfer workers on Kubernetes, storage integration and network paths. You decide what the system looks like and explain why. - Prototype Assessment and Migration: Evaluate the production prototype, decide what gets refactored, extended or replaced, and move its current users onto the managed service without interruption. - Throughput and Correctness: Set the data-plane strategy (sharding, concurrency, straggler handling, checksum verification) and the benchmarks that prove it, aiming for line-rate transfers over dedicated interconnects. - Cross-Team Contracts: Own the interfaces between MDT and Storage, Network, Kubernetes, IAM, Console, Billing and Monitoring. You define what partner teams build to and hold the line on it. - Extensibility and Build-versus-Buy: Design for new clouds and Crusoe-internal transfers with a pluggable transfer engine and regional worker pools, and evaluate open-source and vendor options before the team builds. - Operational Excellence: Set the bar for reliability, observability and on-call for every system the team ships. - Product Partnership: Work with Product on scope, pricing trade-offs and milestones, and surface edge cases early enough to change the plan. - Technical Mentorship: Raise the team's level through design reviews, RFC feedback and direct coaching, so the team runs well without depending on you. What You'll Bring to the Team: - Distributed Systems Depth: Hands-on experience designing and operating data-intensive distributed systems at scale, including the failure modes that only appear in production. - Professional Experience: 8+ years shipping production software, including leading a service from prototype to general availability. - Data Movement and Storage Performance: Understanding of object storage semantics, file systems and TCP throughput, and the ability to profile and fix a transfer that is slower than it should be. - Systems Integration Judgment: Proven ability to evolve a live system toward a better design while keeping risk to current customers low. - Cross-Team Influence: Experience defining API boundaries and schema contracts with partner teams, and negotiating them to agreement. - Operational Ownership: You have carried customer-facing on-call and built systems that are maintainable, observable and predictable. - Software Engineering Craft: Proficiency in Go or another modern compiled language (Go strongly preferred). - Communication: You can explain an architectural decision to an engineer, a PM and an EM, and you know which parts matter to each. Bonus Points - Experience building or operating bulk data transfer systems, such as AWS DataSync, Google Storage Transfer Service, or rclone at petabyte scale. - Familiarity with cloud networking and interconnects, such as AWS Direct Connect or GCP Interconnect. - Experience with cross-account cloud IAM and threat modeling for services that hold customer credentials. - Approximate nearest-neighbor (ANN) indexing in depth: HNSW, IVF, product and scalar quantization, DiskANN-style indexes that live on SSD. - Experience with AI, HPC or Physical AI data pipelines. 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 $215,000 -$260,000 + 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. ## About Crusoe ## Company Overview - **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads. - **Entity Type**: Private (Series E) - **Headquarters**: Denver, Colorado, USA - **Founded**: 2018 - **Founders**: Chase Lochmiller and Cully Cavness ## Core Business - Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy - Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B) - **Mission**: "Accelerate the abundance of energy and intelligence." ## Products & Services - **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%. - **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management. - **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads. - **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers. - **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M). - **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers. - **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office. ## Competitive Advantages - **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy. - **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform. - **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure. - **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction). ## Strategic Focus - **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe. - **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure. - **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report. - **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack. ## Why Work Here - **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey). - **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader. - **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact. - **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel). - **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks. - **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process. ## Sources 1. [crusoe.ai](https://www.crusoe.ai/) 2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers) 3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture) 4. 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