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Salary: USD 164,594 - 246,788 / annual
Echodyne is seeking a Principal State Estimation Engineer to lead development of pose-estimation capabilities for solid-state radar systems operating in GPS-denied environments. You will architect and develop on-radar systems that use radar and inertial sensor data to estimate global position, motion, orientation, and height without reliance on external navigation systems.
In this role, you will own efforts from early prototyping through production deployment, making key algorithm and system-level tradeoffs. You will provide technical leadership on state-estimation and sensor-fusion problems, including target tracking. Your work will have immediate real-world impact on Echodyne's established and rapidly growing fleet of fielded radars, helping protect critical infrastructure and people in an evolving world.
Key responsibilities include:
- Lead development of methods for estimating radar position, velocity, orientation, angular rate, and height in GPS-denied environments using radar, IMU data, terrain maps, and other on-radar sensors
- Apply techniques from robotics and autonomy, including SLAM, odometry, inertial navigation, localization, factor graphs, probabilistic state estimation, and machine learning within embedded real-time system constraints
- Take algorithms from research and prototyping through production implementation
- Drive system-level impacts and coordinate with other teams on deployment
- Work with radar, signal processing, embedded software, systems, and test teams to integrate capabilities into products
- Analyze field data to characterize performance and identify failure modes to produce robust, production-grade solutions
Echodyne manufactures compact solid-state true beam-steering radar for autonomous vehicles, uncrewed aircraft, drones, and critical infrastructure security. The company combines patented metamaterial technology with powerful software to deliver high-performance radar sensors that work in all weather conditions at commercial price points.
REQUIREMENTS:
- Demonstrated ability to independently lead open-ended technical problems
- Experience developing state-estimation, localization, navigation, perception, or machine learning solutions for robotics, VR/AR headsets, autonomous vehicles, drones, aerospace, or similar platforms from prototype through production deployment
- Experience working with real-world spatial sensor data (camera, lidar, radar, ultrasound, sonar)
- Experience with SLAM, Kalman filtering, Bayesian estimation, and factor graphs
- Deep understanding of state-estimation theory, 3D geometry, coordinate transformations, rotations, and kinematics
- Strong foundations in linear algebra, probability, statistics, and optimization
- Strong software development skills in C++ and either Python or MATLAB
- Strong verbal and written communication skills
- MS with 7+ years or PhD with 5+ years of relevant experience in robotics, VR/AR headsets, aerospace, electrical engineering, computer science, applied mathematics, or related field
- Demonstrated technical leadership on complex, production-grade algorithm development efforts
- Ability to handle export-controlled (ITAR, EAR) data
DESIRED EXPERIENCE:
- Visual, lidar, or radar odometry; map- or terrain-relative localization; Maximum Likelihood Estimation
- Open-source C++ optimization libraries (GTSAM, Ceres)
- Software development processes and best practices
- Real-time or embedded algorithm development
- Understanding of traditional navigation sensors (IMUs, accelerometers, gyroscopes, magnetometers, GPS)
- Familiarity with alternative navigation sensors (camera, RF ranging, celestial)
