pronto · San Francisco, CA
Skills: Python, Docker
Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do As a Staff Engineer focused on HPC & AI Compute Infrastructure, you’ll help build the physical computing infrastructure powering Atoms’ AI, robotics, and autonomous systems. You'll work closely with our Infrastructure, AI, and engineering teams to bring immediate GPU capacity online while architecting the foundation for thousands of GPUs, large-scale CPU compute, and Exabyte-scale storage. This is a hands-on role spanning hardware, software, networking, storage, and data-center infrastructure, where you'll own complex technical challenges from initial requirements through deployment and production. Build AI compute infrastructure from the ground up. Lead the design, deployment, and commissioning of physical GPU and HPC infrastructure, including an intermediate data-center environment in San Francisco, to support autonomous systems, AI/ML workloads, and large-scale simulation. Architect for scale. Define the technical foundation to grow from initial deployments to thousands of GPUs, large-scale CPU compute, and Exabyte-scale storage, balancing performance, reliability, scalability, and cost. Own compute and hardware architecture. Evaluate and specify GPU servers, CPUs, memory, networking components, storage systems, and rack configurations based on workload requirements and infrastructure constraints. Design high-performance networking and storage. Work across cluster interconnects, high-bandwidth networking, distribu…
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