Senior Robotics Controls Engineer

Stealth Startup (Deep Defense Tech)

Berlin

Vor Ort

EUR 70.000 - 90.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

VSOP / equity participation
Central Berlin office
Monthly Voucher
Vacation Pay

Zusammenfassung

Stealth Startup (Deep Defense Tech) in Berlin is looking for a Senior Robotics Controls Engineer with a strong background in optimal and model-based control to design control architectures for their precision systems. You’ll work onsite, collaborating closely with engineers to ensure accurate targeting and stable operations.

Applicants should have 6+ years of experience in advanced control systems and be eligible for German security clearance. A strong grasp of real-time control in dynamic environments is essential.

Qualifikationen

  • Strong background in optimal and model-based control including LQR/LQG.
  • Experience implementing real-time control on embedded systems.
  • Strong understanding of actuator dynamics.

Aufgaben

  • Design and implement optimal control strategies for precision aiming systems.
  • Perform system identification from lab measurements.
  • Integrate sensor-fusion–based feedback loops using tracking data.

Kenntnisse

Optimal and model-based control
State-space control
Real-time control
MATLAB/Simulink

Ausbildung

6+ years of experience in advanced control systems engineering
EU citizenship and eligibility for German security clearance

Jobbeschreibung

Location: Berlin (Onsite)

About Us

We are a defense technology startup based in Berlin, building the next generation defense layer against aerial threats. Our team develops mission-critical systems that combine hardware, software, and sensing to operate reliably in complex real-world environments.

As an early-stage company operating in stealth mode, we place strong emphasis on engineering rigor, mathematical precision, and high-performance system design.

Role Overview

We are seeking a Senior Robotics Controls Engineer (Regelungstechnik) with a strong focus on optimal and model-based control to design and implement the control architecture for our high-precision aiming and stabilization systems.

You will take ownership of the control design for a:

  • 2-axis fast steering mirror

The system must achieve sub-milliradian precision under high acceleration and dynamic disturbances, enabling accurate target tracking and beam stabilization in real-world environments.

This role emphasizes:

  • Constrained real-time control
  • Model-based system identification

You will work closely with computer vision, mechanical, and optics engineers to transform tracking data into stable, deterministic, real-time actuation.

This position requires onsite work and eligibility for German security clearance.

Key Responsibilities
Optimal & Model-Based Control Design
  • Design and implement optimal control strategies for precision aiming systems, including:
  • LQR / LQG
  • Constrained optimal control approaches
  • Develop state-space models of electromechanical subsystems
  • Design observers and estimators for high-accuracy state reconstruction
  • Balance bandwidth, robustness, and actuator constraints under real-time requirements
  • Achieve sub-milliradian pointing precision under: Vibration, High acceleration, External disturbances
  • Develop advanced disturbance rejection strategies
  • Design multi-loop control architectures for: 2-axis pan-tilt systems (stepper-driven), 2-axis fast steering mirrors (piezo-actuated)
System Identification & Modeling
  • Perform system identification from lab measurements
  • Model actuator dynamics, friction, and non-linearities
  • Validate models against real-world test data
Simulation & Real-Time Implementation
  • Develop and validate control systems using MATLAB/Simulink or equivalent tools
  • Analyze stability margins, robustness, and constraint handling
  • Implement control algorithms on: Real-time Linux systems (Tegra, RT kernel), Embedded microcontrollers (STM32 or comparable platforms)
  • Ensure deterministic timing and computational efficiency
Cross-Disciplinary Collaboration
  • Integrate sensor-fusion–based feedback loops using tracking data
  • Collaborate with: Computer vision engineers (tracking integration), Mechanical engineers (structural dynamics), Optical engineers (beam stability constraints)
  • Conduct lab validation and performance testing under operational conditions
Required Qualifications
  • 6+ years of experience in advanced control systems engineering (Regelungstechnik)
  • Strong background in optimal and model-based control, including: State-space control, LQR / LQG, Model Predictive Control, Observer design
  • Experience with constrained, high-dynamic control environments
  • Strong experience with modeling and simulation tools (MATLAB/Simulink or equivalent)Experience implementing real-time control on embedded systems and/or real-time Linux
  • Strong understanding of actuator dynamics (stepper motors, piezo actuators, servo systems)
  • EU citizenship and eligibility for German security clearance
  • Willingness to work fully onsite in Berlin
Preferred Qualifications
  • Experience in defense fire control systems, aerospace GNC, or high-precision tracking platforms
  • Experience with Kalman-based estimation integrated into control loops
  • Experience with MPC under real-time computational constraints
  • Hands-on experience tuning servo drives or motor controllers
  • Experience modeling structural vibration and flexible dynamics
  • Background in beam-directing or high-energy systems
  • Experience working in safety-critical or defense environments
What We Offer
  • VSOP / equity participation
  • Central Berlin office
  • Extreme growth opportunity in a fast-scaling startup
  • Monthly Voucher
  • Vacation Pay
Who You Are
  • Mathematically rigorous: You think in state-space, constraints, and cost functions
  • Precision-driven: You care about stability margins, bandwidth, and deterministic behavior
  • Systems-oriented: You understand the coupling between mechanical dynamics, sensing, and actuation
  • Analytical and experimental: You validate models with data, not assumptions
  • Disciplined: You document models, assumptions, and verification procedures
  • Mission-aligned: You understand the responsibility of building high-performance defense systems
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