Atoms

Senior Machine Learning Engineer building production AI systems that improve food-industry operations, logistics, robotics automation, and recommendations. The role combines advanced ML research and practical software development with tools that make ML more accessible across the organization.

Build the core backend platform that takes restaurants from signup through active service and cleanly manages their full customer lifecycle. You’ll own high-impact merchant, onboarding, growth, and entitlement systems end to end.

Build backend integrations that connect Atoms’ food infrastructure platform with restaurant POS, ERP, and other external systems. You’ll own projects from architecture through deployment while improving the reliability and performance of critical operational data flows.

Own and scale the GPU infrastructure that trains Atoms’ foundation models, from bare-metal provisioning to reliable day-to-day cluster operations. You’ll build automation and abstractions that enable high-performance training and simulation workloads to run reliably as the company grows.

Join Atoms’ founding team as a Staff Backend Engineer building the cloud systems that power real-world robotic fleet operations, dispatch, and deployment. You’ll architect reliable backend platforms and APIs while helping establish the technical foundation for physical AI at scale.

Build the onboard software that powers autonomous vehicles, from low-latency C++ control systems to safety monitoring and fleet software deployment. This onsite San Francisco role focuses on reliable, real-time software operating directly on vehicle hardware.

Develop safety-critical embedded firmware for autonomous transport vehicles, interfacing directly with sensors, actuators, custom microcontrollers, and drive-by-wire systems. This onsite San Francisco role combines low-level programming, hardware bring-up, vehicle integration, and embedded systems troubleshooting.

Build the large-scale machine learning infrastructure powering autonomous transport models, including distributed GPU training, data pipelines, and validation systems. This foundational Staff role offers the chance to accelerate robotics research and deploy-to-vehicle workflows.