Join a growing engineering and product development consultancy in Wilmington, MA as a Senior Software Engineer, Robotics & Physical AI Integration. 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. 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 field
Desired 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 discipline
What You Will Be Doing
Tech Breakdown
Robotics & ROS 2 Development
Industrial Controls & Fieldbus Integration
Real-Time Systems & Embedded Systems
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 893100
- Posted 5 hours ago
