Goddard Technologies

Goddard Technologies

Senior Software Engineer, Robotics & Physical AI Integration

Wilmington, MA · Senior

Sponsorship not specified$140k-$165kDetected 21 days ago
PythonC++Full-Stack DevelopmentCode ReviewGitCI/CDLinuxMachine LearningComputer VisionEmbedded SystemsRoboticsElectrical EngineeringCommunicationCollaborationProblem SolvingActuators

About the role

  • This is not a role for someone who writes glue code and calls it done.
  • You will work directly with our Machine Learning Engineer to define inference contracts and latency budgets, and with our hardware and mechanical teams to understand what the physical system can and cannot tolerate.
  • If you have strong opinions about how software should behave when it controls hardware that moves, and you debug problems that span firmware, operating systems, and silicon without losing patience, you will thrive here.

Responsibilities

  • Design and implement software that integrates ML model inference outputs with physical hardware, including motion controllers, servo drives, actuators, and industrial I/O.
  • Develop and maintain ROS 2 nodes, hardware abstraction layers, and device drivers for robotics and automation hardware.
  • Implement and own communication stacks across industrial fieldbuses including EtherCAT, CANopen, Modbus, and Profinet.
  • Interface with low-level embedded hardware over SPI, I2C, UART, GPIO, and CAN, and collaborate with embedded engineers to define cross-boundary interfaces.
  • Collaborate with the ML Engineer to define inference APIs, data contracts, and performance budgets between model outputs and physical actuators.
  • Develop real-time and near-real-time control loops on Linux (PREEMPT_RT) and RTOS targets, with a clear understanding of scheduling, jitter, and determinism requirements.
  • Build hardware-in-the-loop (HIL) and integration test infrastructure that can verify system behavior with and without live hardware.
  • Document software architecture, interface contracts, timing assumptions, and integration procedures for both internal engineering and regulatory purposes.
  • you own the behavior of the physical system end to end, from fieldbus packet to actuator response, and you do not hand problems off at the first sign of ambiguity.

Requirements

  • 5+ years in systems or robotics software engineering with a demonstrated track record of shipping software that controls physical hardware in production.
  • Programming: Strong proficiency in C and C++
  • working knowledge of robot coordinate frames, kinematics, end-of-arm tooling interfaces, teach pendant workflows, and vendor-specific programming environments (e.g., Karel, KRL, RAPID, URScript).
  • Industrial Protocols: Practical experience implementing at least one industrial fieldbus protocol - EtherCAT, CANopen, Modbus, or Profinet - in a production system.
  • Embedded Interfaces: Working knowledge of SPI, I2C, UART, CAN, and GPIO, and experience debugging communication failures at the signal level.
  • Real-Time Systems: Experience with real-time Linux (PREEMPT_RT or Xenomai) or an RTOS (FreeRTOS, Zephyr, or QNX) for deterministic control, with an understanding of how to measure and bound latency.
  • Debugging: Demonstrated ability to isolate failures in systems where the root cause may be in software, firmware, hardware, or the interface between them.
  • Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field required.
  • We use an interdisciplinary development process that combines our diverse engineering experience with creative industrial design solutions.
  • you are not satisfied with a system that works most of the time

Nice to have

  • Working knowledge of motion control concepts: servo tuning, trajectory generation, path planning, and force/torque sensing and control.
  • Experience consuming ML inference runtimes (TFLite, ONNX, TensorRT) within a control or perception pipeline, and an understanding of the operational constraints they impose.
  • Exposure to simulation and digital twin environments such as Gazebo, NVIDIA Isaac Sim, or MoveIt for offline testing and development.
  • Problem-solving depth: you are not satisfied with a system that works most of the time
  • Direct, clear communication: you write well, translate hardware constraints into software requirements for ML collaborators, and surface timing and safety risks early.
  • Company Engagement: Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.

Compensation

  • 140,000 - 165,000 USD per year (Wilmington Office)
  • Goddard contributes 3% of your annual salary directly into your 401(k) account-regardless of your own contributions.
  • The pay range for this role is: 140,000 - 165,000 USD per year (Wilmington Office)

Benefits

  • Flexible Time Off: Benefit from our generous flexible time off policy.
  • We also provide sick leave and bereavement time because we understand that not all time off is for fun.
  • Retirement Savings: Invest in your future with a 401(k)-retirement plan.
  • Health Coverage: Access to comprehensive medical, dental, and vision insurance for you and your family.
  • Goddard contributes 80% of monthly premiums for all medical plan options.
  • Family Support: To take the time you need to welcome the newest member of your family, Goddard offer 6 weeks fully paid parental leave with support of PFML state programs.
  • Integrate machine vision and camera systems, including image acquisition pipelines, sensor calibration, and routing vision outputs to downstream control and inference logic.
  • you identify gaps in integration coverage, tooling, and system reliability on your own, and you close them without waiting to be asked.

Company info

  • Through inspired engineering and design, we deliver outstanding solutions that positively impact lives.
  • We succeed when our partners succeed - it's all about solving the most complex challenges by creating transformative technology.
  • Our Culture and People: At Goddard, our most important asset is our people.
  • We don't just work together; we thrive together.
  • We foster a culture of collaboration, continuous learning, and mutual support.
  • We believe in taking exceptionally good care of each other because great teams build great solutions.
  • If you are someone who embodies the values of accountability, inspiration, dedication, efficiency, innovation, integrity, quality, and reliability, we want you on our team.
  • Come be a part of a workplace where your ideas are valued, your growth is encouraged, and your contributions make a real impact.
  • Join us in shaping the future of transformative technology - together.
  • At Goddard, our most important asset is our people.
  • Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.
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This listing is sourced directly from Goddard Technologies's careers page and normalized into a canonical job model.