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Own and operate Baseten's internal AI stack, build and deploy custom AI agents and LLM-powered tools, evaluate third-party AI developer tools, instrument usage and measure impact on engineering productivity, and support engineering teams in adopting AI workflows.

As a Forward Deployed Engineer, you will develop and maintain ML solutions, collaborate with teams on AI/ML pipelines, and manage projects end-to-end.

Lead and mentor a team of Forward Deployed Engineers in building and optimizing LLM inference workloads, delivering high-performance AI applications, and collaborating with cross-functional teams.

The role involves developing and managing infrastructure for distributed LLM inference systems, ensuring performance and usability, debugging complex systems, and collaborating with performance engineers.

Design and implement RDMA/InfiniBand networking primitives for distributed GPU inference, optimize communication for Disaggregated KV Cache and WideEP, enable sub-10s model startup, validate hardware performance on H100/H200/B200/B300/GB300 clusters, build observability tools, and optimize or author communication kernels (NCCL/NVSHMEM/UCX).

As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.

Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.

As a Software Engineer in the Platform Team, you will build internal tooling and infrastructure to enhance productivity, collaboration, and quality across engineering teams.