2 hours ago
Base Salary
$180k - $220k/yr
Responsibilities
- Architect and ship end-to-end agentic reference systems and starter kits for Crusoe Cloud and Crusoe Managed Inference.
- Build, test, and maintain code examples, tutorials, documentation, cookbooks, integrations, and sample applications.
- Contribute upstream to agent frameworks, inference engines, and developer tooling, and own Crusoe’s developer-facing GitHub presence.
- Create technical blog posts, notebooks, white papers, YouTube videos, livestreams, technical clips, talks, demos, and hands-on labs.
- Engage publicly with developers through social platforms and communities, answer technical questions, review community projects, and build trust in the open-source agent ecosystem.
- Partner with GTM and Solutions Engineering to create reference architectures for Physical AI, robotics, simulation, and other use cases.
- Collaborate with Product, Engineering, and Research on pre-launch testing, launch readiness, and resolving developer friction.
- Travel up to 20% of the time.
Requirements
- 5+ years of experience as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role.
- Strong Python skills and credibility with AI infrastructure and ML/AI engineers.
- Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation using frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK.
- Experience with cloud computing platforms such as AWS, GCP, or Azure, or with managed AI solutions, plus foundational cloud infrastructure knowledge.
- Working knowledge of model serving, OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang.
- A public record of technical work through GitHub repositories, open-source contributions, blog posts, videos, talks, or an active technical social-media presence.
- Strong written and verbal technical communication skills, including documentation, white papers, video explainers, and presentation decks.
- Ability to work cross-functionally, set priorities independently, and ship in a fast-moving environment.
- Bachelor's, master's, or PhD degree in Computer Science, or equivalent practical experience.
- Preferred qualifications include maintaining or significantly contributing to open-source AI, agent, or inference projects; producing technical video content; fine-tuning or post-training open-weight models; and having an established technical audience.
Benefits
- Competitive compensation, bonus, equity packages, and Restricted Stock Units.
- Paid time off, paid holidays, leave programs, and paid parental leave.
- Comprehensive health, dental, and vision insurance, HSA contributions, paid life insurance, and short- and long-term disability coverage.
- Professional development, tuition reimbursement, mental health and wellness support, commuter benefits, and a cell phone stipend.
- 401(k) retirement plan with company matching up to 4% of salary.
- Volunteer time off, global travel insurance, emergency assistance, daily meal allowance, and location-specific perks.
- Travel is required up to 20%.
Tech Stack
Categories
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.