Senior Software Engineer (Hybrid)

This is a full-time, hybrid position (2-3 days onsite per week) focused on bridging AI/ML systems and real-world robotics hardware. You’ll work across ROS 2, industrial robotics, real-time systems, machine vision, industrial protocols, and embedded interfaces to deliver production-ready intelligent automation solutions. This opportunity is ideal for engineers who thrive at the intersection of software, robotics, and physical systems. You’ll own the integration layer that connects machine learning inference to actuators, robot controllers, and industrial hardware, collaborating closely with ML, embedded, electrical, and mechanical engineering teams., · AI/ML Integration & Inference Infrastructure · Testing, Validation & Documentation Daily Responsibilities · Design and develop robotics software and hardware integration layers · Build and maintain industrial communications and control systems ·] Collaborate with ML, embedded, electrical, and mechanical engineering teams · Develop testing, HIL, and validation infrastructure · Troubleshoot and resolve cross-functional hardware/software system issues

If you enjoy solving complex multidisciplinary problems, driving architecture decisions, and taking end-to-end ownership of systems that move and interact with the real world, you’ll have significant impact here.Required Skills & Experience · 5+ years of robotics, systems, or software engineering experience delivering production software that controls physical hardware · Strong C and C++ programming skills; Python for tooling, scripting, and test automation · Hands-on experience with ROS/ROS 2, including nodes, services, actions, hardware interfaces, launch systems, parameter management, and tf2 · Experience integrating industrial robot controllers such as FANUC, KUKA, ABB, Universal Robots, or Yaskawa/Motoman · Knowledge of robot kinematics, coordinate frames, EOAT interfaces, teach pendant workflows, and vendor programming environments (Karel, KRL, RAPID, URScript, etc.) · Production experience implementing industrial communication protocols such as EtherCAT, CANopen, Modbus, or Profinet · Experience working with embedded interfaces including SPI, I2C, UART, GPIO, and CAN · Experience developing on real-time Linux (PREEMPT_RT/Xenomai) or RTOS platforms such as FreeRTOS, Zephyr, or QNX · Familiarity with functional safety standards such as IEC 62304, ISO 13849, or IEC 61508 · Strong debugging, testing, code review, Git, and CI/CD experience applied to systems software · Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related fieldDesired Skills & Experience · Experience integrating machine vision systems using GigE Vision, USB3 Vision, or similar technologies · Familiarity with OpenCV or comparable vision processing libraries · Knowledge of servo tuning, trajectory generation, path planning, and force/torque control systems · Experience integrating ML inference runtimes such as TensorRT, ONNX Runtime, or TensorFlow Lite into robotics or control pipelines · Experience with simulation and digital twin platforms including Gazebo, NVIDIA Isaac Sim, or MoveIt · Experience working in startup or small-team environments with ownership of architecture and engineering processes · Advanced degree in a relevant engineering disciplineWhat You Will Be Doing Tech Breakdown · Robotics & ROS 2 Development · Industrial Controls & Fieldbus Integration