Principal State Estimation Engineer
Core
Lead development of radar pose-estimation methods for GPS-denied environments using radar and IMU data, terrain maps, and other on-radar sensors.
Role type
Principal State Estimation Engineer
Builds
Radar pose-estimation capabilities for autonomous vehicles, drones, and critical infrastructure protection
Domain
Robotics, autonomous systems, radar signal processing
Deliverable
production ML models
Required skills
State estimation theory, SLAM, Kalman filtering, Bayesian estimation, factor graphs, 3D geometry, coordinate transformations, kinematics, linear algebra, probability, statistics, optimization, C++, Python or MATLAB
Preferred skills
Visual/lidar/radar odometry, map/terrain-relative localization, Maximum Likelihood Estimation, GTSAM, Ceres, real-time/embedded algorithms, IMU/GPS sensor integration
Technologies
Radar, IMU, C++, Python, MATLAB, GTSAM, Ceres, 3D Angular Embedded Machine Learning
Responsibilities
Lead development of methods to estimate radar position, velocity, orientation, angular rate, and height above ground in GPS-denied environments; Apply robotics and autonomy techniques within embedded real-time system constraints; Advance algorithms from research and prototyping through production implementation; Drive system-level impacts and coordinate deployment with other teams; Collaborate with radar, signal-processing, embedded-software, systems, and test teams; Analyze field data to assess performance and identify failure modes; Provide technical leadership on related state-estimation and sensor-fusion challenges
Seniority
Principal, technical leadership & hands-on IC
