About The Position
We’re looking for a skilled Senior 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