Engineering Manager, Model Routing Inference

divh2Engineering Manager, Model Routing Inference/h2pOur mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code./ph3About the Role/h3pYou will lead the Model Routing Inference team at Cursor, owning the inference platform that powers every AI interaction in the product. This team owns the full inference path: making Cursors AI faster, more reliable, and more cost-effective at a scale few teams in the world get to operate at. Every agent session, every tab completion, and every chat message flows through your stack./ppYoull set technical direction for cluster management, inference optimization, and traffic egress, building the platform that lets the rest of the company move fast without worrying about provider complexity. Youll lead a team of strong engineers, set strong direction for the business, and make the calls that balance latency, cost, reliability, and user experience across millions of daily requests./ph3What Youll Do/h3ullipBuilding and evolving our inference gateway, a single abstraction over every providers API semantics, so model onboarding becomes a config change./p/lilipBuilding the systems that dynamically select the best model for each request based on cost, latency, and quality./p/lilipManaging GPU cluster utilization and capacity planning across providers, optimizing for cost and performance./p/lilipDesigning routing backpressure and admission control so traffic spikes dont cascade into providers./p/lilipHiring and growing the team: sourcing, interviewing, and closing top inference and systems talent, while developing your engineers through coaching, mentorship, and high-leverage project assignments./p/li/ulh3You May Be A Fit If/h3ullipYou have led engineering teams building high-throughput, low-latency distributed systems, especially in inference serving, traffic routing, or real-time data pipelines./p/lilipYoure comfortable reasoning about cost/performance tradeoffs at scale (GPU utilization, provider economics, capacity planning) and making decisions with incomplete information./p/lilipYou have strong software engineering fundamentals and enjoy shipping production systems that handle millions of requests./p/lilipExperience with model serving frameworks (vLLM, TensorRT-LLM, TGI), load balancing, or building resilient multi-provider architectures is a plus./p/lilipYou make good calls in the gray area: weighing reliability, cost, latency, and user experience when there isnt a single right answer./p/li/ul/div