Robotics Controls Engineer
Cssmerge · San Francisco, CA
About this role
## Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world—but the physical world (food, mining, transport, and more) remains far less intelligent, efficient, and scalable. We’re changing that. Atoms builds **Physical AI**—real-world robots for industries that move civilization forward, starting with **food, mining, and transport**. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, scalable, and productive. We integrate deeply across **hardware, software, AI, operations, manufacturing, and real estate**—deploying into real environments, operating systems, learning from them, and improving until they work at scale. ## What you’ll do We’re looking for a **Robotics Controls Engineer** to develop and maintain the core control systems that enable **autonomous haul trucks** to operate safely in **mining environments**. You’ll work on: - **Localization** - **Path following** - **Longitudinal control** - **Steering systems** for **200+ ton** vehicles **Responsibilities include:** - Design, implement, and tune control algorithms for autonomous vehicle systems - Build **localization & state estimation**, **longitudinal control**, and **lateral/control navigation** - Develop state estimation pipelines that fuse multiple sensor modalities - Analyze system performance through simulation and field testing - Debug control issues using logged data and identify root causes - Collaborate with perception, planning, and hardware teams to integrate control systems - Write production-quality **Python** code that runs reliably and efficiently **Travel note:** Periodic travel to customer sites (up to **15%**) **Schedule note:** Some schedule flexibility may be required during deployments ## What we’re looking for - BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or related field - 2+ years of professional (non-internship) software development experience - Strong foundation in classical control theory (e.g., **PID**, lead/lag compensation, stability analysis) - Experience with state estimation (e.g., **Kalman filters**)
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