Control & Navigation Engineer

We’re looking for a skilled Control & Navigation Engineer to join our core team and help push the limits of autonomous robotics. You’ll work on estimation, control, and real-time systems, developing algorithms that run on real robots operating in complex, dynamic environments. 

In this role, you’ll own meaningful parts of our GNC stack, from multi-sensor fusion and EKF development to real-time integration of new sensing modalities. You’ll work closely with our embedded, perception, and platform teams to bring robust autonomy to production-grade systems. 

Responsibilities 

• Develop and implement state estimation algorithms. 
• Integrate new sensors (IMU, magnetometer, GPS, LiDAR, radar, camera-based systems, etc.) trough signal processing and into the real-time navigation stack 
• Contribute to control algorithm development for robust trajectory tracking and system stability. 
• Analyze flight/robot logs and design improvements for estimator and controller performance 
• Work on real-time, resource-constrained systems, ensuring determinism and reliability. 
• Test and validate your algorithms in both simulation and real-world field environments and operations  
• Collaborate with Embedded, Perception, and software teams to deliver end-to-end solutions 
• Write clean, maintainable, and production-quality code. 

Requirements

• BSc or MSc in Mechanical, Aerospace, or related engineering fields. 
• 3–5 years of hands-on experience in Kalman filtering, sensor fusion, and nonlinear system dynamics. 
• Experience with real-time systems and integrating multiple sensor sources 
• Familiarity with Python for analysis, visualization, and tool development. 
• Ability to work independently and collaboratively in a fast-paced environment 
• Strong problem-solving skills and the mindset to diagnose complex system behavior. 

Nice to Have 

• Experience with UAV/UGV platforms or autonomous robotics 
• Experience with PX4, ROS 2, or similar frameworks 
• Experience working with C/C++ in Linux environments 
• Hands-on lab or field-testing experience (hardware bring-up, calibration, debugging) 
• Background in control theory (LQR, MPC, nonlinear control) 

Why Join Us? 

• Work on real robots your algorithms will fly, drive, and operate in the field 
• Join a highly experienced team dedicated to building high-performance autonomous systems 
• Take ownership of significant parts of the navigation and control stack 
• Fast learning and high-impact environment where your contributions matter 
• Opportunity to grow into senior/lead positions as the team expands