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, distributed storage, and data movement to support compute-intensive workloads.
Partner on physical data-center delivery. Collaborate with facilities, real estate, and infrastructure teams to translate compute requirements into power, cooling, rack density, space, and connectivity specifications.
Drive infrastructure deployment end to end. Work with hardware manufacturers, vendors, and internal teams on technical evaluations, bills of materials, procurement planning, installation, integration, validation, and production readiness.
Automate infrastructure operations. Develop tooling and processes for bare-metal provisioning, configuration management, monitoring, hardware validation, incident response, and failure recovery to make deployments repeatable and reliable.
Own capacity planning and operational reliability. Anticipate infrastructure bottlenecks, troubleshoot complex hardware and software issues, and continuously improve performance, utilization, and availability as compute demand grows.

What we’re looking for

We're looking for a hands-on infrastructure engineer who has experience building and scaling physical compute environments, from initial system design through deployment and production. You should be comfortable working across hardware, software, networking, storage, and data-center infrastructure, bringing deep technical expertise and the ability to lead complex engineering initiatives. We're looking for someone who can move quickly to deliver immediate compute capacity while building the technical foundation for long-term scale.

Basic qualifications

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
8+ years of experience in infrastructure engineering, systems engineering, high-performance computing, data-center engineering, or related technical disciplines.
Demonstrated experience designing, deploying, commissioning, or significantly expanding physical compute infrastructure, including HPC clusters, GPU systems, or large-scale data-center environments.