Vacancy expired!
- Modeling (linear and non-linear) of mechanical, electromagnetic, and electrical plants;
- The Design, implementation, integration, verification of safety-critical and fault tolerant motion control laws for levitation, guidance, braking, and propulsion subsystems of the vehicle;
- The stability, performance, safety, and reliability analysis of vehicle motion control laws;
- Interface with other Controls Engineers, Embedded Systems Engineers, Propulsion Engineers, Power Electronics Engineers and system integration teams;
- Act as a technical lead, supporting and mentoring a growing team of highly skilled individuals to set goals and align planning with the company’s objectives;
- Manage program risks and develop mitigation plans and actions to meet project milestones
- Master’s degree in Control, Mechanical, Electrical Engineering or another related field and equivalent work experience focused on mechanical systems control;
- 3+ years of experience in design, implementation, integration, verification of embedded systems or equivalent experience
- Experience on motion planning with preferred experience in Autonomous Vehicles.
- Experience in building and analyzing stability and performance tools for control design such as open loop and closed loop bode plot generation, Gain/Phase margin for SISO and or disk margin for MIMO systems
- Strong knowledge in control theory and methods:
- Classic control and feedforward control;
- Classic, optimal, robust, and adaptive control techniques and implementation (loop-shaping, Lyapunov, H-infinity, sliding mode control, LQG/LTR, model adaptive identification controllers, fuzzy-logic, etc);
- MIMO control of highly redundant systems;
- Stability/robustness characterization for highly non-linear systems;Convex/nonconvex non-linear constrained optimization techniques;
- Expert in Matlab, Simulink, Stateflow;
- Deep understanding of mechanical, electromagnetic and power electronics systems;
- PhD degree in Control, Mechanical, Electrical Engineering or another related field and equivalent work experience focused on mechanical systems control;
- Model-in-the-loop (MIL), Software-in-the-loop (SIL); hardware-in-the-loop (HIL) testing of embedded systems;
- Experience with statistical estimation techniques (Kalman, extended Kalman, Unscented Kalman Filter, complementary filtering);
- Experience in system and state identification techniques (extended state observers);
- Experience in digital signal processing and sensor fusion;
- Experience in validating computational models through experimental data analysis and system identification
- Experience with version control (Git) specifically with regards to MATLAB and Simulink
- Experience with dynamic identification techniques and experimentation for structures and vehicles
- Experience in flexible mode analysis in the context of motion control;
Vacancy expired!