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Сontrol Systems Engineer

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Description

We’re looking for a Control & Autonomy Engineer to join our team and work on cutting-edge robotics and autonomous systems.
You’ll develop control algorithms, work with sensor fusion and multi-sensor data, build simulations, and collaborate with robotics and software engineers to bring real-world autonomous solutions to life.
Key Responsibilities:
Develop control-based algorithms and support their testing.
Work on data analysis and sensor fusion for multi-sensor systems (e.g., IMUs, cameras, magnetometers).
Build models and simulations to support system development and testing.
Collaborate with robotics and software engineers on integration with other platforms, modules, and solutions.
Stay up to date with recent research in control and autonomy, and propose solutions to address product use cases.
Required Qualifications:
3+ years of experience in control, robotics, machine learning, or a related field.
Experience with PID controllers, Kalman filters, and signal processing.
Practical knowledge of linear algebra.
Strong programming skills in Python and/or a good working knowledge of C++.
Experience working with Linux-based systems.
Degree in Computer Science, Robotics, Engineering, Mathematics, or another STEM field (or equivalent practical experience).
Nice to Have:
Advanced knowledge of control theory.
Experience with MATLAB / Simulink for dynamic system modeling and control design.
Experience with ROS 2, Gazebo, or AirSim.
Experience with sensor setup and integration.
Experience with at least one of the following flight controllers: PX4, Betaflight, or ArduPilot.
What We Offer:
Opportunity to work on cutting-edge embedded products.
Competitive salary and benefits.
Professional growth and learning opportunities.
Collaborative and engineering-focused culture.

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