Precision Gimbal Controls Engineer

Leonardo DRS; Bridgeton (MO); Hybrid; USD 79,919 - 103,895; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement plan

Flexible work schedule

Job summary

Leonardo DRS Land Systems is seeking a full time Controls Systems Engineer responsible for analysis, modeling, simulation, implementation support, and verification of stabilized pointing and tracking control for an EO/IR sensor and gimbal on combat vehicles. This position is based in Bridgeton, MO with an option for in-person or hybrid work.

You will develop classical and modern control laws, create and validate dynamic plant models, and support real-time/embedded implementation while

Qualifications

• Bachelor's degree in Engineering, Mathematics, or equivalent.
• 2+ years of experience in classical feedback control design and analysis for physical systems (servo/motion control preferred).
• Experience with frequency-domain methods (Bode/Nyquist), root locus/loop shaping, and stability margins.

Responsibilities

• Develop, analyze, and refine multi-axis stabilization, pointing, and tracking control laws for precision gimbal/servo systems.
• Perform classical control design and verification using frequency-domain methods (Bode/Nyquist).
• Create and maintain dynamic plant models capturing motor/drive dynamics, inertia, friction/backlash, sensor dynamics, structural resonances.
• Support digital/discrete-time control implementation considerations (sampling, discretization, latency, quantization).
• Support real-time/embedded implementation of control algorithms and cross-team integration.

Skills

Classical control theory

State-space methods

MATLAB/Simulink

Real-time/embedded

Communication skills

Education

Bachelor's degree in Engineering

Tools

MATLAB/Simulink

Job description

Leonardo DRS Land Systems is seeking a full time Controls Systems Engineer responsible for analysis, modeling, simulation, implementation support, and verification of stabilized pointing and tracking control for an EO/IR sensor and gimbal on combat vehicles. This position is based in Bridgeton, MO with an option for in-person or hybrid work.

You will develop classical and modern control laws, create and validate dynamic plant models, and support real-time/embedded implementation while