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Senior Software Engineer - Together Cloud Infrastructure

Together AI · San Francisco

On-site Senior
ObservabilityGPUKubernetesCI/CDAWSAzureGCPDockerPythonGoLatencyThroughput

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Responsibilities Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. Perform architecture and research work for decentralized AI workloads Work on the core, open-source Together AI platform Create services, tools, and developer documentation Create testing frameworks for robustness and fault-tolerance To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.  Requirements 5+ years of professional software development experience and proficiency in at least one backend programmi

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