Senior Control Systems Engineer – Vehicle Dynamics & Abstraction (m/f/d)

In this role you will design and implement robust, platform-agnostic control layers for a diverse fleet of autonomous vehicles, acting as the boundary between high-level autonomy and the physical system. You will address real-world, nonlinear challenges to ensure safe, stable execution of motion commands at the vehicle limits. You’ll work across simulations and real-time environments to deliver predictable tracking and safeguarded control, contributing to core autonomy capabilities and system robustness. This is a hands-on position that blends theory with pragmatic engineering to advance end-to-end driving performance.

• Direct impact: rapid transition from research to products
• Dynamic startup culture with flat hierarchies
• Flexible work schedules
• 30 days paid vacation per year
• Monthly lunch budget
• Company-subsidized wellness programs (eGym Wellpass)

• Design and deploy platform-agnostic motion control architectures
• Develop multivariable control laws and data-driven control allocation
• Perform system identification and modeling of unknown plant dynamics
• Validate control loops with pragmatic simulations and rapid verification
• Implement real-time motion safeguarding to respect vehicle physical constraints

• Real-time closed-loop control experience
• Classical control theory expertise (frequency-domain design, stability margins)
• System identification and data-driven control allocation experience
• Nonlinear control theory with Differential Geometry (Feedback Linearization, Differential Flatness)
• State estimation with Kalman Filtering under non-holonomic constraints
• Proficiency in MATLAB/Simulink, C++, or Python

• Collaborative, startup-minded culture fit
• Strong problem-solving under complex real-world conditions
• Clear communication and cross-functional teamwork
• MATLAB/Simulink
• C++
• Python