Senior Software Engineer, Machine Learning Infrastructure - Generative AI

**About the Team** ------------------ DoorDash's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI\-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open\-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real\-time GPU serving, high\-throughput batch inference, and fine\-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. **About the Role** ------------------ You will join a small, high\-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open\-weights model platform spanning inference and fine\-tuning: real\-time GPU serving, high\-throughput batch inference, and model fine\-tuning. You'll set technical direction across model serving and inference engines, fine\-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high\-impact systems and pushing the cost/performance frontier of GPU inference and fine\-tuning in a fast\-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. **You're excited about this opportunity because you will…** ----------------------------------------------------------- * Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing th