Full-Stack Robotics Software Engineer

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry. Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Position Overview As a Full-Stack Robotics Software Engineer , you will be the primary architect of the software "circulatory system" that connects our frontier models to physical actuators. This is a high-impact, dynamic role. You will own the end-to-end delivery of the robot’s software stack, from building the teleoperation interfaces and 3D data visualizers to debugging complex sensor-fusion issues on real hardware. You are the engineer who ensures that our AI research translates into reliable, commercial-grade robotic performance. What You’ll Do End-to-End Delivery: Own the full software stack. You will rapidly develop clean, maintainable code for robot control, sensing, and remote teleoperation. Hardware-Software Integration: Lead the bringup, calibration, and integration of new sensors (LiDAR, Depth, IMU) and actuators. You’ll be the first line of defense in diagnosing complex SW/HW system-level issues. Infrastructure & Tooling: Architect backend services and APIs to support large-scale data collection. You will build the monitoring, logging, and evaluation tools that allow the AI team to verify model performance in real-time. 3D Visualization: Develop sophisticated tools for processing and visualizing geometric data, 3D rotations, and moving reference frames to help researchers "see" what the robot sees. Cross-Functional Velocity: Collaborate across AI, Controls, and Hardware teams to accelerate the path from a research hypothesis to a deployed robot capability. What You’ll Bring 5+ Years of Software Mastery: A proven track record of building highly reliable production software, with an emphasis on Python and C++. Geometric Intuition: Strong mathematical foundation in 3D geometry, rigid body transforms (SO(3)/SE(3)), and kinematics. You are comfortable using libraries like NumPy, SciPy, or Pinocchio. Full-Stack Proficiency: Experience building both backend services (REST APIs, Web Services) and the low-level software that interfaces with hardware SDKs or embedded systems. System Debugging: The ability to efficiently "bisect" a software stack to isolate bugs, whether they live in the network layer, the driver, or the geometric logic. Ownership & Drive: You feel at home testing code on electromechanical systems and have a "bias for action" when it comes to unblocking high-priority projects.