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Software Engineer - Inference Platform
baseten · San Francisco, CA · Posted 31 days ago
Own the distributed runtime powering large-scale LLM inference, from Kubernetes orchestration to GPU routing, making complex infrastructure simple for millions of model deployments.
We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.
You'll get to work on these types of projects on our Inference Platform:
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This role is one of 695 Software Engineer openings in San Francisco, CA and centers on Distributed Systems, Backend Infrastructure, Kubernetes, and Low-latency Services. There are 108 open roles at baseten right now.
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