Top Tech Jobs & Startup Jobs

The Senior/Principal Systems Engineer will lead the Workers AI platform team in developing and optimizing scheduling models and routing requests. Responsibilities include using quantitative metrics to enhance performance and flexibility, while employing expertise in distributed systems, load balancing, and resource sharing.

As a Senior/Principal Systems Engineer within the Workers AI team, you will lead technical architecture for AI inference products, develop APIs, and enhance developer experience. Your role involves guiding the technical direction for large engineering projects and maintaining the AI model catalog.

The Senior/Principal Systems Engineer for Workers AI will lead development efforts in scheduling models and routing requests efficiently using Rust and Typescript. Responsibilities include improving platform performance and flexibility, building large-scale distributed systems, and shaping the architecture of cross-functional projects.

As an Engineering Manager for the Workers AI platform at Cloudflare, you will lead a small team responsible for AI model scheduling and request routing. You’ll utilize quantitative metrics to enhance flexibility and performance. The role requires expertise in distributed systems, load balancing, and programming in Rust or a modern compiled language.

Lead the Workers AI team focused on deploying AI inference on GPUs, maintaining the AI model catalog, and developing products and APIs for enhanced developer experiences in AI integration.

Join the Data Center Selection team to improve the quality and cost of colocation sites while managing vendor relationships and driving best practices. Responsibilities include defining vendor strategies, managing deals end-to-end, and collaborating with internal teams to support infrastructure growth. Strong relationship management and negotiation skills are essential.

As a Senior/Principal Systems Engineer on the Workers AI platform team, you will lead technical initiatives, enhancing system flexibility and performance. Key responsibilities include scheduling models and routing requests, while leveraging your expertise in distributed systems, load balancing, and resource sharing to drive improvements.