R&D Unmanned Systems Engineer I/II/III

San Clemente, CA 92673

Posted: 03/04/2019 Employment Type: Direct Industry: Engineering Job Number: 80143
Description:
We are looking for someone that will be successful on a high-velocity scrum team supporting advanced Unmanned Systems with primary functions of system design, modeling and simulation including developing and extending software and hardware including “in-the-loop” simulators, testing and integration of avionics components and systems, and advanced autonomous development (path planning, deep learning for object identification). The candidate must have diversity in knowledge including aerodynamics, robotics, mathematics, physics as he/she will be working with engineers of varying disciplines. This individual should be extremely driven, with good communication skills, and have a strong technical background as a previous member of a successful R&D or production team.
 
Engineer Responsibilities and Mindset:
 
  • System design, modeling and simulation
  • Developing and extending software and hardware including “in-the-loop” simulators,
  • Testing and integration of avionics components and systems,
  • Advanced autonomous development (path planning, deep learning for object identification).
  • Keep up to date with latest best practices
  • Work with software developers in a high-velocity scrum team.
 
Qualifications:
  • B.S., M.S., or Ph.D. in Aerospace Engineering, Robotics, Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field
  • Experience: 3/5/7+ years work or equivalent research experience as well as proven success in development of simulation, robotics, and hardware & software integration including Unmanned Systems (UAS/UxS).
  • Knowledge of engineering fundamentals including aerospace or mechanical engineering (fluid dynamics, controls, system identification), math, physics required.  Additional cross-functional or multi-disciplinary knowledge / project success is preferred.
  • Proficiency in C++ / Python as well as application software testing.
  • Experience with Continuous Integration (CI) including automated Build tools
  • Knowledge of Unix/Linux operating systems required
 
Software Stack:
  • PX4 Software Stack (PX4/firmware, sitl_gazebo, QGroundControl, mavros, mavlink)
  • ROS/ROS2, RTSP, TCP/UDP, OpenCV, UAVCAN, pyTorch
  • Boost, CMake, C++11,
  • Git, bitbucket, GitHub, Jenkins
  • OS: Linux/Debian/Ubuntu
  • Simulation Environments: Unreal Engine, Blender, Meshlab
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