Control Systems Engineer

Alteon; Bengaluru; On-site; INR 2,600,000 - 4,500,000; Full time

Job summary

Alteon in Bengaluru is seeking an engineer with deep expertise in control theory, flight dynamics, state estimation, and disturbance rejection to improve how an autonomous fixed‑wing aircraft follows commanded trajectories in challenging wind conditions.

You will develop control algorithms, perform modeling and simulation, analyze flight data, and validate in flight with real data and SITL/HIL testing, collaborating with Flight Dynamics and Embedded teams.

Qualifications

• Experience with Control Theory: PID/PI/PD, feedforward, cascaded control, gain scheduling, state-space control, LQR/LQG, MPC, fuzzy logic.
• 6-DOF dynamics, longitudinal and lateral-directional dynamics, stability, damping, natural frequency, bandwidth, phase lag, gain/phase margin and multi-axis coupling.
• Signal filtering, low-pass/notch/complementary filters, Kalman Filter, EKF/UKF, state observers, sensor fusion, bias, drift, and disturbance estimation.
• Tools: MATLAB/Simulink, Python, C/C++, SITL/HIL, flight-dynamics simulation, and similar modeling, analysis, and control-development tools.
• Flight Data: Ability to analyze flight logs and use real-world data

Responsibilities

• Improve Flight Control Performance by ensuring aircraft follows commanded trajectories, attitudes, velocities, and paths.
• Understand System Behaviour by analyzing oscillations, overshoot, drift, slow response, instability, and variation across flight conditions.
• Develop Control Strategies to achieve stable, accurate, and predictable aircraft behaviour.
• Validate in Flight by translating models to implementation, tuning, flight testing, and iterative improvement.

Skills

Control theory

System dynamics

Filtering & state estimation

Flight data analysis

Tools

MATLAB/Simulink

Python

C/C++

SITL/HIL

Flight dynamics simulation

Job description

About the Role

We are developing an autonomous fixed-wing aircraft capable of performing highly accurate and complex flight trajectories in challenging wind conditions. We are looking for an engineer with a strong understanding of control theory, flight dynamics, system behavior, filtering, state estimation, and control algorithms who can help us improve how the aircraft responds, tracks trajectories, and handles disturbances.

This is a hands-on role involving control algorithm development, modeling, simulation, flight-data analysis, system tuning, and real-world flight testing.

What you’ll do

Working closely with our Flight Dynamics, Embedded and flight test teams you will:

Improve Flight Control Performance: Improve how accurately and consistently the aircraft follows commanded trajectories, attitudes, velocities, and flight paths.

Understand System Behaviour: Analyze why the aircraft oscillates, overshoots, drifts, responds slowly, becomes unstable, or behaves differently across flight conditions.

Develop Control Strategies: Design and improve the overall control architecture to achieve stable, accurate, and predictable aircraft behaviour.

Validate in Flight: Take algorithms from mathematical models and simulation through implementation, tuning, flight testing, and iterative improvement.

Skills and Competencies

We are particularly interested in experience with:

Control Theory: PID/PI/PD, feedforward, cascaded control, gain scheduling, state-space control, LQR/LQG, MPC, fuzzy logic.

System Dynamics & Analysis: 6-DOF dynamics, longitudinal and lateral-directional dynamics, stability, damping, natural frequency, bandwidth, phase lag, gain/phase margin and multi-axis coupling.

Filtering & State Estimation: Signal filtering, low-pass/notch/complementary filters, Kalman Filter, EKF/UKF, state observers, sensor fusion, bias, drift, and disturbance estimation.

Tools: MATLAB/Simulink, Python, C/C++, SITL/HIL, flight-dynamics simulation, and similar modeling, analysis, and control-development tools.

Flight Data: Ability to analyze flight logs and use real-world data

Nice to haves

Strong practical or research experience in flight controls, GNC, autonomous systems, robotics, UAVs, fixed-wing aircraft, missile/guided vehicle control, model-based control, or similar fields.

Experience developing, tuning, or debugging real-world control systems and working with flight-test data is highly desirable.