Senior Software Engineer, AI Platform
Crusoe · San Francisco, CA - US
About this role
## Senior Software Engineer, AI Platform ### About Crusoe Crusoe is on a mission to accelerate the abundance of energy and intelligence. As a vertically integrated AI infrastructure company, we build and operate each layer of the stack—from electrons to tokens—to power the world’s most ambitious AI workloads. ### About the Role The Crusoe Cloud Managed AI team is seeking an ambitious and experienced **Senior Software Engineer** to help shape the architecture and scalability of our next-generation **managed AI services**. You’ll lead the design and implementation of core systems for our AI offerings, including: - **Resilient, fault-tolerant queues** - **Model catalogs** - **Scheduling mechanisms** optimized for **cost and performance** This is an **on-site** role based in **San Francisco, CA** or **Sunnyvale, CA** (in-office presence required). ### What You’ll Be Working On - **Design & Development** - Lead core AI service design and implementation, including: - Resilient fault-tolerant queues - Model catalogs for managing and versioning AI models - Scheduling mechanisms optimized for cost and performance - **Scalability & Reliability** - Deep understanding of **Kubernetes** or other distributed cluster orchestration systems - Architect and scale infrastructure to handle **millions of API requests per second** - Implement robust **monitoring and alerting** for 24/7 availability - **Collaboration & Innovation** - Partner with product management, business strategy, and other engineering teams to define the AI platform roadmap - Influence long-term vision and architectural decisions - Contribute to open-source AI frameworks and participate in the AI community - Prototype and rapidly iterate on emerging technologies and new features ### What You’ll Bring to the Team - **Strong Engineering Fundamentals** - Advanced degree in Computer Science/Engineering - **4–5+ years** of industry experience with a track record of leading initiatives - Experience with **distributed systems** and **cloud services** (compute, storage, networking, database) - Ability to deliver early-stage projects quickly - **AI/ML Expertise** - Experience with **Generative AI** (LLMs, multimodal) - Familiarity with AI infrastructure (training, inference, ETL pipelines) - **Software Engineering** - Proficiency with **container runtimes** (e.g., Kubernetes), **microservices**, **REST APIs**, **gRPC** - Experience across the full SDLC including **CI/CD** ### Preferred Qualifications - Proficiency in **Golang, Python, or Rust** for production services - Contributions to open-source AI projects (e.g., **vLLM**) - Experience optimizing performance on **GPU systems** and inference frameworks ### Personal Attributes - Proactive and collaborative; able to work autonomously - Excellent communication and interpersonal skills - Passion for building cutting-edge AI products and solving complex technical problems ### Benefits - Competitive compensation and equity packages (including **RSUs**) - Paid time off, paid holidays, and leave programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA - Paid parental leave - 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) with company match up to 4% - Volunteer time off - Global travel insurance & emergency a
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