Principal State Estimation Engineer

Echodyne offers the world’s first compact solid-state true beam-steering radar for a wide range of industries and applications. Our high-performance radars work in all weather and are designed for autonomous vehicles, uncrewed aircraft & drones, and security of borders, critical infrastructure, and smart cities. The company combines the patented technology of metamaterials with powerful software to create a radar sensor with unprecedented performance at commercial price points.

Echodyne offers its radars to companies working in Automotive, Transportation, Critical Infrastructure Protection, Border Security, Smart Cities, Uncrewed Aircraft Systems (UAS), and Airspace Management including Urban Air Mobility (UTM).

Inthis role, you’lllead development ofpose-estimation capabilities for Echodyne radarsoperatinginGPS-denied environments.

You’ll architect and developnewon-radar systems thatuse radar and inertial sensor data to estimate the global position and motion ofradarswithoutrelianceon external navigation systems.

You’ll make key algorithm and system-level tradeoffs and own efforts from early prototyping through production deployment.

You’llalsoprovide technical leadership on related state-estimation and sensor-fusion problems, such as target tracking.

Yourworkwillhaveanimmediate real-world impact onourestablishedandrapidlygrowingfleetoffieldedradars, helping make themmore robustandeffectiveat protecting the infrastructure and people that rely on themin an evolving world.

• Lead development of methodsforestimatingradar position, velocity, orientation,angular rate,andheightabovegroundin GPS-deniedenvironmentsusing radarandIMUdata,terrain maps, and otheron-radar sensors anddata.
• Apply techniques from robotics and autonomy, including SLAM, odometry,inertial navigation,localization,factor graphs,probabilistic state estimation, and machine learning– within the constraints of an embedded real-time system.
• Takethesealgorithms from research and prototyping through production implementation.
• Drive system-level impacts and coordinate with other teamson deployment.
• Work with radar, signal processing, embedded software, systems, and test teams to integrate capabilities into products.
• Analyze field datatocharacterize performance and identify failure modesto produce robust,production-grade solutions.

• Demonstrated ability to independently lead an open-ended technical problem.
• Experience developing state-estimation, localization,navigation, perception, or machine learningsolutionsfor robotics,VR/AR headsets,autonomous vehicles, drones, aerospace, or similar platforms from prototype through production deployment.
• Experience working with real-worldspatialsensor data(e.g. camera, lidar, radar,ultrasound,sonar).
• Experience with SLAM, Kalman filtering, Bayesian estimation,andfactor graphs.
• Deep understanding of state-estimation theory,3D geometry, coordinate transformations, rotations, and kinematics.
• Strong foundation sin linear algebra, probability, statistics, and optimization.
• Strong software development skills in C++andeither
  
  Python or MATLAB.
• Strong verbal and written communication skills.

• Experience with visual, lidar, or radar odometry; map- or terrain-relative localization, Maximum Likelihood Estimation.
• Experience with 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, etc.).
• Familiarity with alternative…