Software Engineer, Model Routing & Inference
소프트웨어 엔지니어정규직— · 경력 무관New York, San Francisco—
Distributed SystemsInference ServingTraffic Routing
Cursor는 AI 코딩 도구의 인프라 플랫폼을 구축할 엔지니어를 찾습니다. 고성능 분산 시스템 설계 경험이 필수이며, 수백만 건의 요청을 처리하는 추론 엔진과 트래픽 라우팅 시스템을 최적화합니다. 저지연 시스템 구축에 능숙하고 비용 효율적인 아키텍처를 설계할 수 있는 분을 환영합니다.
Our 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.
As a Software Engineer on the Model Routing & Inference team at Cursor, you'll build the inference platform that powers every AI interaction in the product.
This team owns the full inference path: making Cursor's 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.
Building and evolving our inference gateway, a single abstraction over every provider's API semantics, so model onboarding becomes a config change.
Designing intelligent cross-provider failover so no single provider outage causes user-visible degradation.
Designing routing backpressure and admission control so traffic spikes don't cascade into providers.
You have deep experience building high-throughput, low-latency distributed systems, especially in inference serving, traffic routing, or real-time data pipelines.
You're comfortable reasoning about cost/performance tradeoffs at scale (GPU utilization, provider economics, capacity planning).
You have strong software engineering fundamentals and enjoy shipping production systems that handle millions of requests.
You make good calls in the gray area: weighing reliability, cost, latency, and user experience when there isn't a single "right" answer.
If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.