Control & Automation Engineer

Morgan McKinley

Paris

Sur place

EUR 70 000 - 110 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

Morgan McKinley in the Greater Paris region is seeking a control systems engineer to own the PAT control layer and design the control laws that keep a laser beam aligned at long range. You will implement real-time flight code and validate performance on the bench.

Responsibilities include modeling, Monte Carlo simulations, and testing with embedded C on bare-metal/RTOS platforms, collaborating with a senior engineering team across space and defence applications.

Qualifications

  • Degree in Control, Mechatronics, Robotics, or related field.
  • Hands-on experience closing and measuring a real control loop on hardware.
  • Proficiency with Matlab/Simulink and embedded C; professional English.

Responsabilités

  • Own the control layer for PAT loops to keep a laser beam on target.
  • Design control laws, write real-time flight code, validate bench performance.
  • Develop models, simulations and coordinate with hardware tests.

Connaissances

Matlab/Simulink
Embedded C
Professional English

Formation

Degree in Control/Mechatronics/Robotics or related field

Outils

RTOS
Bare-metal C

Description du poste

Location: Greater Paris region, France | Permanent (CDI) | On-site

About Us We build communication terminals and optical payloads for space and defence. Our small, senior engineering team owns disciplines across the portfolio, where every deliverable has a single named owner.

The Role You will own the control layer for Pointing, Acquisition, and Tracking (PAT) loops that hold a laser beam on target at long range. You will design the control laws, write real-time flight code, and validate system performance directly on the bench.

Key Responsibilities
  • Control Laws & Servos: Fine/coarse pointing loops, loop shaping, state-space design, and non-linear actuator physics (friction, stick-slip).
  • Modeling & Kinematics: Plant models, Monte Carlo simulations, line-of-sight decomposition, and inverse kinematics.
  • Strategy & Budgets: Acquisition search patterns, detection thresholds, and pointing error budget allocation.
  • Implementation & Bench: Bare-metal/RTOS control code in embedded C, breadboard testing, and reconciling measured dynamics against predictions.
Qualifications
  • Education: Degree in Control, Mechatronics, Robotics, Electrical Engineering, or equivalent grounding.
  • Hardware Experience: Must have closed and measured a real control loop on physical hardware (e.g., optical bench, drone, precision stage). No simulation-only profiles.
  • Tools & Languages: Matlab/Simulink, embedded C, and professional English (French is a plus).
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