🌍 Control System Engineer, Remote- Contract
Core
Design and tune control algorithms for physical systems like robotics, drones, and automotive hardware to enable AI training with real-world data.
Role type
Control System Engineer (Contract)
Builds
Robust controllers and plant models for physical hardware
Domain
Robotics, Automotive, Industrial Hardware
Deliverable
production ML models
Required skills
PID control, controller design, plant modelling, real system deployment, Python, state-space analysis, transfer function methodologies
Preferred skills
LQR, MPC, Kalman Filters, system identification, embedded C/C++, ROS, nonlinear/robust/adaptive control, Modelica/OpenModelica, Julia
Technologies
python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica
Responsibilities
Design and tune PID and advanced controllers for physical systems; Develop plant models from first principles and validate against empirical data; Implement and verify control algorithms in Python; Analyze system performance and iterate on design for optimal operation
Seniority
Mid-Senior, hands-on IC
