---
title: 'Senior Systems Engineer at Crusoe'
canonical: 'https://feeny.ai/job/senior-systems-engineer-crusoe-san-francisco-kvrskeh9c25e'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Systems Engineer at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Compensation:** $195k–$225k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-06
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/Crusoe/54da7367-f56e-429d-94ff-75c210604e90/application

**Skills:** Enterprise SaaS Architecture, Integration Platforms, API Gateways, Event-driven Architectures, Webhook Frameworks, AI/ML Integrations, LLMs, Okta, Entra ID, SSO, SCIM Provisioning, Zero-trust Architectures, Google Workspace Enterprise, DLP, Context-aware Access, SaaS Security Architecture, Data Classification, Encryption, SOC 2, ISO 27001

> Lead the design and evolution of the enterprise technology ecosystem, focusing on SaaS platforms, AI capabilities, and intelligent integrations. The role involves architecting scalable automation frameworks, defining security standards, and driving business transformation through thoughtful architectural decisions i...

## 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 This Role

We’re seeking a Senior Systems Engineer to play a key role in executing Crusoe’s 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You’ll operate 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.

## What You’ll Be Working On

- Designing and implementing agentic AI workflows using a modular, API-first architecture across platforms such as Workato ONE, Anthropic Claude, and Gemini.
- Building autonomous agents that orchestrate workflows across enterprise systems (e.g., Salesforce, Coupa, Slack, Google Workspace)
- Architecting and integrating a unified data layer that enables AI agents to access and act on data across siloed systems
- Developing integrations, APIs, and custom connectors that enable scalable AI orchestration across business platforms
- Implementing MCP (Model Context Protocol) connectors and model-agnostic orchestration patterns
- Designing deployment pipelines and lifecycle management systems for AI agents in production environments
- Embedding security, data privacy, and compliance guardrails into all AI implementations
- Creating reusable templates, frameworks, and tooling to support a Citizen Developer Program
- Mentoring internal teams through code reviews, training, and technical enablement programs
- Evaluating emerging AI technologies and prototyping next-generation capabilities to advance agentic maturity

## What You’ll Bring to the Team

- 10+ years of software engineering experience, including 3+ years in AI/ML or AI application development
- Strong proficiency in Python and API development (REST, GraphQL, webhooks)
- Hands-on experience with enterprise integration platforms (e.g., Workato, MuleSoft, Zapier)
- Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, or similar)
- Deep understanding of agentic architectures, RAG patterns, and prompt engineering
- Experience designing scalable, distributed systems in cloud environments (AWS, GCP, or Azure)
- Strong knowledge of microservices, event-driven architecture, and integration design patterns
- Experience with CI/CD, infrastructure as code, and DevOps practices
- Understanding of data security, privacy, and compliance considerations (SOC 2, GDPR)

Bonus Points

- Experience deploying agentic AI systems in production environments
- Familiarity with iPaaS platforms (Workato preferred) and enterprise automation ecosystems
- Experience with Google Workspace or Microsoft 365 automation and extensibility
- Knowledge of Model Context Protocol (MCP) or similar interoperability standards
- Experience implementing AI governance frameworks in enterprise settings
- Background in infrastructure, energy, or high-performance computing environments
- Contributions to open-source AI projects or technical thought leadership

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 $190,000 - $230,000 + 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.

## 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. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

## Other roles at Crusoe

- [Vice President, Information Technology](https://feeny.ai/job/vice-president-information-technology-crusoe-san-francisco-f3vrrtk5yffx) — San Francisco, CA / United States
- [Associate Construction Engineer - Power Infrastructure](https://feeny.ai/job/associate-construction-engineer-power-infrastructure-crusoe-denver-t7twn5hnxss8) — Denver, CO / United States
- [Senior Software Engineer, Data Platform](https://feeny.ai/job/senior-software-engineer-data-platform-crusoe-san-francisco-exbgj0xgczrk) — San Francisco, CA / United States
- [Head of Internal Audit](https://feeny.ai/job/head-of-internal-audit-crusoe-san-francisco-1xcybe9drby4) — San Francisco, CA / United States
- [Vice President, Product Management, Managed AI](https://feeny.ai/job/vice-president-product-management-managed-ai-crusoe-san-francisco-cz9enxmhbgpk) — San Francisco, CA / United States
- [Logistics and Inventory Manager](https://feeny.ai/job/logistics-and-inventory-manager-crusoe-reykjanesbaer-91vdr925h1m4) — Reykjanesbaer, Iceland
- [Senior Facilities Engineer](https://feeny.ai/job/senior-facilities-engineer-crusoe-sparks-hvr5yw0t8n6a) — Sparks, NV / United States
- [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-crusoe-brighton-xa5tf3zx69r7) — Brighton, CO / United States
- [Senior Analyst, Business Health Finance](https://feeny.ai/job/senior-analyst-business-health-finance-crusoe-bellevue-je6bkyv3n58p) — Bellevue, WA / United States
- [Quality Manager - Manufacturing](https://feeny.ai/job/quality-manager-manufacturing-crusoe-brighton-89d7tkz350zy) — Brighton, CO / United States