---
title: 'Staff AI Engineer, Developer Relations Engineering at Crusoe'
canonical: 'https://feeny.ai/job/staff-ai-engineer-developer-relations-engineering-crusoe-sunnyvale-784cjw08zvjd'
type: 'job'
last_seen: '2026-11-06'
---

# Staff AI Engineer, Developer Relations Engineering at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** Sunnyvale, CA / United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/crusoe/06c41456-0789-495d-affd-bc88d7ea9d44

## 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: Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference.

In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides.

You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem.

You will spend most of your time building and then sharing what you build.

What You'll Be Working On:

- Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals.
- Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as the ecosystem changes.
- Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe.
- Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips.
- Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted technical voice in the agent and open-source community.
- Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals.
- Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized.
- Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops.

What You'll Bring to the Team:

- Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python. A Developer Relations title is not required.
- Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers.
- Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK. You have well-formed opinions about what works and what breaks in production.
- Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts.
- Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly.
- Public Track Record: Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms. Please include links when you apply.
- Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks.
- Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment.
- Travel Requirement: Ability to travel up to 20%.
- Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience.

Bonus Points

- Maintainer or significant contributor to an open-source AI, agent, or inference project
- Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts
- Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA)
- An existing technical audience that trusts your views on models, agents, and tooling

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 $180,000-$220,000 + 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. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

## Other roles at Crusoe

- [Staff Software Engineer, AI Model Lifecycle](https://feeny.ai/job/staff-software-engineer-ai-model-lifecycle-crusoe-san-francisco-3918za8e9e1h) — San Francisco, CA / United States
- [Chief of Staff (Internal)](https://feeny.ai/job/chief-of-staff-internal-crusoe-san-francisco-bwkm4fm3s4sa) — San Francisco, CA / United States
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-crusoe-san-francisco-qrfygkwp3rwj) — San Francisco, CA / United States
- [Senior Technical Sourcing Manager, Fiber](https://feeny.ai/job/senior-technical-sourcing-manager-fiber-crusoe-bellevue-wyvbb6jrpc2m) — Bellevue, WA / United States
- [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-denver-vc7357r6rbt7) — Denver, CO / United States
- [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-san-francisco-hakbnyhhqfsv) — San Francisco, CA / United States
- [Associate, Capital Markets](https://feeny.ai/job/associate-capital-markets-crusoe-san-francisco-fxjyaaymqs4r) — San Francisco, CA / United States
- [Senior QA Engineer, Client Interfaces](https://feeny.ai/job/senior-qa-engineer-client-interfaces-crusoe-san-francisco-m5nzrby0g8r9) — San Francisco, CA / United States
- [Senior Financial Analyst, Headcount & OpEx Planning](https://feeny.ai/job/senior-financial-analyst-headcount-opex-planning-crusoe-bellevue-bm7y7n3p3kej) — Bellevue, WA / United States
- [Staff Quality Control (QC) Engineer](https://feeny.ai/job/staff-quality-control-qc-engineer-crusoe-childress-88wv4gkyhqw4) — Childress, TX / United States