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Atoms is building Physical AI—real-world robots for industries that move civilization forward, starting with food, mining, and transport. The company integrates hardware, software, AI, operations, and manufacturing to deploy autonomous systems at scale.
As a Robotics Systems Engineer, you will own end-to-end feature delivery for autonomous trucks, taking autonomy capabilities from prototype to reliable real-world performance. You'll develop, integrate, and validate autonomy features (software and tests) for autonomous vehicle operation. Your responsibilities include system-level debugging across sensors, compute, networking, controls, and software stacks using logs, metrics, and on-vehicle tools.
You will lead technical execution during deployments, driving bring-up plans, communicating technical requirements, identifying risks, and coordinating fixes across engineering and operations teams. You'll support field deployments in mission-critical environments, including periodic travel to customer sites (up to 10%) and hands-on on-vehicle debugging. You'll also bring up and integrate new truck platforms by working with hardware and integration teams to add sensors, vehicle signals, calibrate systems, and tune performance.
You'll collaborate across disciplines—hardware, operations, safety, and product—to deliver robust, safe, and maintainable autonomy behavior. Some schedule flexibility may be required during deployments.
Required: 5+ years of professional software development experience. Strong programming skills in Python, C++, Java, or C#, with object-oriented design expertise. Proven robotics engineering experience with system-level ownership (integration, debugging, performance tuning, field support, deployments). Ability to design and debug software systems with strong diagnostics that scale beyond a single vehicle. Working knowledge of core robotics concepts and math (state estimation, Kalman filtering, localization, planning, controls). Comfort operating in ambiguity and defining scope, interfaces, milestones, and success criteria. Strong communication and collaboration skills, including explaining technical trade-offs to non-technical partners. Demonstrated ability to lead technical projects through planning, execution, and deployment. Experience deploying autonomy/robotics systems in the field (on-call rotations, safety-critical troubleshooting, customer-site support).
Preferred: Experience with sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows, robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses).
