Engineering Manager, State Estimation
Core
Lead a team developing advanced mapping, localization, and SLAM solutions for embedded camera systems to support transit and government agencies.
Role type
Engineering Manager, State Estimation
Builds
Embedded mapping and localization systems for mobile perception
Domain
Robotics, Computer Vision, Autonomous Systems
Deliverable
production ML models
Required skills
C++, geometric computer vision, stochastic processes, nonlinear/convex optimization, filtering algorithms (Kalman, particle filters), optimization-based methods, camera geometry, structure from motion, multi-sensor fusion, factor graphs, state estimation, team leadership, technical roadmap planning, cross-functional project management
Preferred skills
SLAM/VIO estimator deployment, multi-sensor systems (GPS, IMU, camera, wheel odometry), deep learning integration with classical state estimation, published research in robotics/computer vision, scaling multi-disciplinary teams
Technologies
C++, Kalman filters, particle filters, nonlinear least squares, factor graphs, SLAM, VIO, GPS, IMU
Responsibilities
Build and mentor engineering teams on state estimation and SLAM; set technical direction and align priorities with organizational goals; drive cross-functional projects from conception to deployment; provide technical guidance on algorithm design and system architecture; develop project roadmaps and technical documentation; partner with senior leadership on long-term strategies; review and approve designs for technical excellence; lead recruitment and performance management
Seniority
Senior, hands-on IC with management responsibilities
