Robotics Control Systems Engineer

DEKA Research & Development•Manchester, NH

About The Position

DEKA Research and Development is seeking Robotics Control Systems Engineers (Multiple Openings) to join our engineering team. This role involves architecting real-time software stacks for autonomous robots and medical devices, developing control systems for innovative robotic products, and implementing various algorithms including linear/nonlinear and optimal controls, motion prediction, ego localization, and sensor fusion. The engineer will also be responsible for writing production-level code, implementing computer vision algorithms, developing machine learning deployment pipelines, creating robot system requirements, performing failure-modes and effect analysis, developing finite state machines, creating graphical software for manufacturing, and developing PLC ladder logic for industrial automation. This position includes supervision of 4-6 peers/subordinates.

Requirements

Master’s degree, in Mechanical, Electrical, Mechatronics, or Computer Science Engineering, or foreign degree equivalent plus four (4) years of experience as a control systems engineer.
4 years of experience developing, testing and optimizing control systems for dynamical systems by writing efficient, high-performance code in Python and C++
2 years of experience working with algorithms using advanced computer science data structures, including graphs, trees, heaps, priority queues, stacks, and double ended queues
2 years of experience with Robot Operating System (ROS) and physics simulators such as MATLAB/Simulink, or Gazebo in robotics development environments
2 years of experience writing embedded software for real-time systems on embedded hardware systems, such as microcontrollers, motor controllers
2 years of experience developing perception, mapping, localization and motion prediction algorithms for autonomous robots
1 year of technical leadership experience working with a team of engineers
1 year of experience working with sensor suites such as LiDARs, Radars, Cameras, IMUs, and implementing computer vision algorithms using OpenCV in both C++ and Python
1 year of experience programming and debugging PLCs using Rockwell Automation–based control platforms
1 year of experience deploying machine learning algorithms on embedded systems
1 year of experience with writing control software for medical devices and performing Failure Modes and Effects Analysis (FMEA) for them.

Responsibilities

Work with a team of Engineers for detecting and mitigating perception sensor failures for autonomous mobile robots.
Architect real-time software stack for autonomous robots and medical devices, owning end-to-end planning, design, development, integration, and testing.
Develop robust logging, data collection, and error handling tools to support reliable 24/7 system operation.
Develop deterministic hardware communication interfaces via protocols such as Ethernet, CAN and SPI.
Develop and maintain control systems for innovative robotic products.
Research and create linear/nonlinear and optimal controls algorithms; motion prediction, ego localization, and sensor fusion algorithms.
Write production level code in Python and C++
Implement computer vision algorithms to detect manufacturing defects in medical devices.
Develop pipelines for machine learning algorithm deployment.
Create requirements for robot systems and perform failure-modes and effect analysis.
Develop finite state machines for medical device production fixtures.
Develop graphical software to aid manufacturing operations.
Develop PLC ladder logic for industrial automation systems integrating sensors, actuators, safety interlocks, and fault-recovery logic.