Controls Engineer

Allen Control Systems•Austin, TX

About The Position

We are looking for a Controls Engineer to join our team, focusing on robot dynamics and controls, motor controls, and precision real-time systems that power our next-generation autonomous weapon platforms. This role requires strong experience with Python and controls development, with additional exposure to C, C++ and MATLAB being helpful but not mandatory. This is a unique opportunity to work in a fast-paced startup environment on systems where your work directly influences system performance and mission success.

Requirements

A strong passion for controls engineering and autonomous systems.
Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or related field.
3+ years of experience in controls engineering with proven proficiency in Python.
Experience developing flight control systems, motor control algorithms, or real-time control applications.
Familiarity with control theory, PID tuning, state estimation, and feedback control loops.
Experience with simulation environments and test frameworks (Python-based preferred).
Understanding of real-time constraints and hardware-software integration challenges.
Comfortable with Git, CI/CD workflows, and writing clean, maintainable, well-tested code.
A desire to work in a highly collaborative, fast-paced startup environment.

Nice To Haves

Experience with embedded systems programming (C, C++ is a plus).
Familiarity with MATLAB/Simulink for modeling and simulation.
Experience developing autonomous aerial or ground robotic platforms.
Familiarity with sensor fusion, state estimation, and Kalman filtering.
Familiarity with MIMO systems and adaptive and nonlinear control mechanisms.
Exposure to hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing environments.
Prior experience with ruggedized defense or aerospace systems.

Responsibilities

Design and implement advanced robot control algorithms for UAV tracking and stabilization.
Develop and refine motor control systems for high-precision actuation in real-time applications.
Build simulation and testing tools in Python to validate control systems.
Collaborate closely with embedded software engineers, hardware teams, and computer vision specialists to integrate control systems into our autonomous platforms.
Analyze system dynamics and performance, and develop solutions for complex control challenges.
Support system integration, tuning, and field testing of autonomous systems.
Document control strategies, algorithms, and performance metrics.
Stay current with advancements in control theory, robotics, and real-time systems.