Senior Software Engineer - Wilmington, Ma - ML/Ai/Robotics

Job Description

A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Software Engineer focused on Robotics and Physical AI Integration. This engineer will own the integration layer between AI/ML models and the physical systems they control.

A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Software Engineer focused on Robotics and Physical AI Integration. This engineer will own the integration layer between AI/ML models and the physical systems they control.

In this role, you will build software spanning industrial fieldbus communication, robot controllers, embedded interfaces, machine vision, and real-time control loops. You will partner with machine learning, embedded, hardware, and mechanical engineers to define inference contracts, latency budgets, interface requirements, and safe, reliable system behavior.

Required Skills & Experience

• 5+ years of systems or robotics software engineering experience shipping software that controls physical hardware in production
• Strong proficiency in C and C++, with Python experience for tooling, scripting, and test automation
• Hands-on experience with ROS or ROS 2, including nodes, services, actions, launch systems, parameters, tf2, and hardware interfaces
• Experience integrating industrial robot controllers from vendors such as FANUC, KUKA, ABB, Universal Robots, or Yaskawa/Motoman
• Production experience with at least one industrial fieldbus protocol such as EtherCAT, CANopen, Modbus, or Profinet
• Experience with embedded interfaces including SPI, I2C, UART, CAN, and GPIO, plus signal-level debugging
• Experience with real-time Linux or an RTOS and an understanding of latency, scheduling, jitter, and determinism

Desired Skills & Experience

• Experience integrating machine vision systems and working with OpenCV, GigE Vision, USB3 Vision, or similar technologies
• Knowledge of motion control concepts including servo tuning, trajectory generation, path planning, and force/torque control
• Experience using ML inference runtimes such as TFLite, ONNX, or TensorRT within control or perception pipelines
• Exposure to Gazebo, NVIDIA Isaac Sim, MoveIt, or other simulation and digital twin environments
• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field

Daily Responsibilities

What You Will Be Doing

100% Hands On

• Design and implement software that connects ML inference outputs to motion controllers, servo drives, actuators, industrial I/O, and robot controllers
• Develop ROS 2 nodes, hardware abstraction layers, device drivers, and industrial communication stacks
• Build real-time and near-real-time control loops on Linux and RTOS targets while managing latency and determinism requirements
• Integrate machine vision and camera systems, including acquisition pipelines, calibration, and downstream control logic
• Create hardware-in-the-loop and integration test infrastructure and troubleshoot issues across software, firmware, hardware, and system interfaces

The Offer

Hybrid schedule with 2-3 days onsite per week in Wilmington, Massachusetts

You Will Receive The Following Benefits

• Medical, Dental, and Vision Insurance
• Flexible Paid Time Off, Sick Leave, and Bereavement Time
• 401(k) with a 3% employer contribution regardless of employee contributions
• 6 Weeks of Fully Paid Parental Leave with support from state PFML programs
• Regular Company and Team Events

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Nick Ramler