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Robotics Systems Engineer
Develop, test, and deploy autonomy features for autonomous trucks, debugging system-level issues across sensors, software, and vehicle interfaces while leading deployments in real-world environments.


Staff Machine Learning Engineer
Builds and deploys AI models for autonomous transport platforms, focusing on robotics, sensor fusion, and edge deployment to turn real-world driving data into reliable vehicle control.
Senior Machine Learning Engineer
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge optimization in real-world industrial settings.
Staff Machine Learning Engineer
Build and deploy AI models for autonomous transport robots, integrating perception, planning, and edge deployment in real-world industrial settings.


Senior Machine Learning Engineer
Builds AI models for autonomous transport robots, focusing on trajectory planning, multimodal perception, and edge deployment for real-world industrial use.
Senior Robotics Systems Engineer
Senior Robotics Systems Engineer at Atoms in San Francisco builds, deploys, and debugs autonomy features for real-world autonomous trucks, integrating software, hardware, and AI in mission-critical environments.
Robotics Software Engineer Intern
Develops software for robotic hardware, control systems, and cloud services in a food-production automation company, bridging embedded systems, real-time algorithms, and full-stack applications.


Staff Systems Integration Engineer, Hardware-in-the-Loop (HIL)
Own the hardware-in-the-loop (HIL) system benches that validate Atoms' autonomy stack off-vehicle: design and build the bench, simulate vehicle networks (CAN, Automotive Ethernet), replay sensor data, and run CI-driven automated tests. Hands-on, onsite role in San Francisco at a Physical AI robotics company.


Staff Machine Learning Engineer - Perception
Foundational Senior Staff ML Engineer shaping Atoms' next-generation perception stack for real-world robots: designing deep learning architectures that fuse camera, LiDAR, radar, and audio into world representations for downstream planning and action models. Deeply hands-on, onsite in San Francisco five days a week.

