Jobs at Beam
AI-Native Cloud Platform
About Beam
AI-Native Cloud Platform
[ Open roles ]
- Applied Ai Research EngineerSan Francisco, California, Us | New York, New York, Us
Applied AI Research Engineer focused on optimizing LLM inference for lower cost per token and latency. This role involves hands-on low-level inference optimization, direct customer engagement for workload tuning, and guiding the future of the inference platform.
- Product EngineerNew York, New York, Us
- Head of Gtm and GrowthNew York, New York, Us
- Distributed Systems EngineerSan Francisco, California, Us | New York, New York, Us
This is a Mid-level Distributed Systems Engineer role at Beam, focusing on platform engineering. The engineer will work on low-level systems development, container runtimes, GPU workload packing, and cutting-edge technologies like GPU checkpoint restore.
- Head of Compute OperationsNew York, New York, Us
- Compute TraderNew York, New York, Us
- Gpu Cluster Infrastructure EngineerSan Francisco, California, Us | New York, New York, Us
- Site Reliability EngineerSan Francisco, California, Us | New York, New York, Us
Site Reliability Engineer at Beam, an ultrafast AI inference platform. This role involves owning compute fleet health end-to-end, automating deployment debugging, designing the GPU qualification platform, and managing firmware-level telemetry and log collection.
- Network EngineerSan Francisco, California, Us | New York, New York, Us
Network Engineer at Beam, an AI inference platform. This role involves deploying and validating data center network infrastructure, ensuring physical connectivity, managing hardware logistics, and providing operational support during and after deployments. Requires hands-on experience with modern network fabrics and troubleshooting across physical and logical layers.
- Chief of StaffNew York, New York, Us