Senior Robotics AI Engineer for Real‑World Systems

Motion Recruitment Partners, LLC

Wilmington (DE)

Hybrid

USD 150,000 - 230,000

Full time

6 days ago

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Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Flexible PTO

401(k) with company contribution

Paid Parental Leave

Job summary

Motion Recruitment Partners, LLC in the United States is seeking a Senior Robotics AI Software Engineer to bridge ML models with robotic actuation, perception, and industrial automation. This hands-on role covers ROS2, real-time Linux, and embedded systems.

You will own software infrastructure transforming predictions into reliable actions across hardware interfaces and middleware. The team tackles challenging problems at the intersection of robotics, machine learning, and industrial networking

Qualifications

5+ years of experience developing robotics, automation, embedded, or systems software that controls physical hardware.
Strong programming skills in C/C++ and Python.
Hands-on experience with ROS or ROS 2, including nodes, services, actions, launch systems, and hardware interfaces.
Experience integrating robotic systems, industrial automation equipment, or autonomous platforms.
Knowledge of industrial communication protocols such as EtherCAT, CANopen, Modbus, or Profinet.
Experience interfacing with industrial robots from major manufacturers such as FANUC, KUKA, ABB, Universal Robots, Yaskawa, or similar platforms.
Understanding of kinematics, coordinate systems, robotic motion, and controller integration.
Experience working with embedded interfaces including SPI, I2C, UART, GPIO, and CAN.
Experience developing software for Linux-based real-time systems, RTOS environments, or latency-sensitive applications.
Strong debugging skills across software, firmware, networking, and hardware boundaries.
Experience with CI/CD, automated testing, code reviews, and modern software development practices.
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related discipline

Responsibilities

Design and develop software that connects machine learning models with robotic actuators, motion systems, sensors, and automation equipment.
Build and maintain ROS 2 infrastructure, middleware, hardware abstraction layers, and device drivers.
Create robust communication frameworks using industrial networking and fieldbus technologies.
Integrate machine vision, perception, and sensing platforms into AI-driven robotic workflows.
Collaborate closely with machine learning engineers to define inference APIs, latency requirements, and deployment strategies.
Develop real-time and near-real-time control systems for Linux and RTOS environments.
Interface directly with industrial robots and automation hardware to enable intelligent system behavior.
Build hardware-in-the-loop and system-level testing environments to validate performance before deployment.
Optimize reliability, determinism, and safety across software and hardware boundaries.
Troubleshoot complex cross-disciplinary issues involving robotics, embedded electronics, networking, controls, and AI systems.
Influence architecture decisions for next-generation intelligent robotics platforms