El Segundo, CA30+ days ago
ResponsibilitiesDesigning and implementing state estimation algorithms, including sensor fusion techniques for IMUs, GPS, cameras, and other onboard sensorsDeveloping real-time software to run estimation algorithms on embedded systemsTesting and validating state estimation solutions in both simulated and real-world drone environmentsDebugging and improving estimation performance under challenging conditions such as sensor noise, environmental disturbances, and hardware constraintsCollaborating with autonomy, controls, and perception teams to integrate state estimation with navigation and flight systemsStaying up-to-dateYou should have the following3+ years of experience developing state estimation algorithms for robotics, drones, or similar systemStrong knowledge of sensor fusion techniques such as Kalman filters, extended Kalman filters (EKF), or particle filtersProficiency in programming languages such as C++ or PythonExperience implementing algorithms on embedded systems or real-time platformsFamiliarity with sensor technologies like IMU, GPS, cameras, and lidarStrong mathematical and analytical skills, particularly in linear algebra, probability, and optimizationExperience with simulation tools and frameworks (e.g., Gazebo, Mujoco, etc)US Salary Range$150,000 - $200,000 USDThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. This role involves working closely with hardware and software teams to ensure robust and reliable state estimation under a variety of operational conditions.