Top Software Engineer Jobs

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.

Lead the Workers AI team in deploying AI inference on GPUs, develop innovative features enabling AI integration, and manage the model catalog and inference code for a better developer experience.

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.

The Data Center Selection team member will focus on improving colocation sites and partnerships by managing vendor relationships, structuring contracts, and ensuring projects meet demand while navigating market dynamics. Responsibilities include vendor strategy, overseeing deals, collaborating cross-functionally, and conducting vendor management activities, all while delivering effective results in a fast-paced environment.

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.

The Senior/Principal Systems Engineer will lead technical aspects of large engineering projects within the Workers AI platform team, focusing on scheduling models and managing requests efficiently. Responsibilities include setting architecture, load balancing, and enhancing system performance through quantitative metrics in a distributed systems environment.