Autonomy Engineer — UAV Guidance, Navigation & Control

Pace XL Ltd.; Cambridge; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Stock options

Private Medical & Dental

Cycle to work scheme

Lunchtime catering on site

Job summary

Cambridge Aerospace is hiring a Guidance & Navigation Engineer in Cambridge to develop guidance, navigation and control capabilities for autonomous aerial systems. You will move from concept to tested, deployable solutions supporting air defence platforms, working with cross-functional teams on algorithm design and validation.

Requirements include degrees in aerospace/robotics, strong state estimation knowledge, and hands-on Python/C++ with ROS2.

Qualifications

• Bachelor's or Master's in Aerospace Engineering, Robotics, Computer Science, or related field.
• Strong knowledge of guidance, navigation, and state estimation methods (EKF/UKF/particle filters/VO).
• Experience with detection and tracking using onboard sensors.
• Proficiency in Python and C++ for algorithm development and deployment.
• Familiarity with ROS2, sensor fusion frameworks, and simulation tools.
• Background in UAV dynamics and autonomous systems.

Responsibilities

• Develop and implement guidance algorithms for trajectory generation and mission execution.
• Design navigation/state estimation for UAVs, incl. GPS-denied environments.
• Work on detection, tracking and sensor fusion (IR/IMU/LiDAR/radar).
• Integrate GN algorithms with control and perception systems.
• Build and validate solutions using SIL and HITL before deployment.
• Analyse flight data to refine algorithms and ensure robust performance.
• Collaborate across hardware, control, and perception teams for full autonomy.

Skills

Python

C++

ROS2

Sensor fusion

UAV dynamics

Education

Bachelor's/Master's in Aerospace Engineering/Robotics/CS

Tools

Simulation tools

Sensor fusion frameworks

Job description

Cambridge Aerospace is hiring a Guidance & Navigation Engineer in Cambridge to develop guidance, navigation and control capabilities for autonomous aerial systems. You will move from concept to tested, deployable solutions supporting air defence platforms, working with cross-functional teams on algorithm design and validation.

Requirements include degrees in aerospace/robotics, strong state estimation knowledge, and hands-on Python/C++ with ROS2.