At Aurora Flight Sciences, we design, build, and fly advanced aircraft and enabling technologies from concept to reality. We are searching for a talented and self-motivated Autonomy & Robotics Engineer to help us create the future of flight. Responsibilities will include but not be limited to the following:
- Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for hardware and software systems.
- Develops system architecture, hardware and software designs and interface specifications.
- Develops and maintains code and integrates hardware and software components into a fully functional hardware and software system.
- Performs, integrates and documents system performance and test results to validate and verify systems and components meet requirements and specifications.
- Performs live demonstrations of working systems (hardware and software) in laboratory and field environments for stakeholder and customers.
-Bachelor's Degree typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry
-Must be US Person
- Strong teamwork and communication skills.
-Typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master).
-Experience writing and winning proposals
-Knowledge of aircraft conceptual design, aircraft dynamics and controls, aircraft procedures
-Education in the robotics-related field or equivalent demonstrated experience proposing, executing, and communicating robotics research and development.
-Design new autonomous systems including defining requirements, considering design options, selecting hardware, and designing software.
-Design and implement software for data collection and decision making.
-Demonstrate mastery of at least one of the following, and working knowledge or interest in a majority of the others: Robot manipulation, Actuator design, Real-time computation, Power electronics, Trajectory planning, Electromechanical system design, Machine vision, Rapid prototyping, Dynamic simulation, Math, Low-level motor control, Acceptance testing of physical robot hardware, Machine learning, Real-time control, Software engineering, Communication protocols, Embedded systems.
- Must be available to be on-site at Cambridge, MA or Manassas, VA office