Develop and run large scale optimization and estimation routines. Replay and simulate using existing log data to characterize performance, tune parameters, identify failures and provide performance guarantees
Integrate sensors into pose estimation and inertial navigation algorithms for deployment on the self driving car. Examples include Kalman filters, EKF, UKF, particle filters, etc.
Investigate sensor and filter performance issues. Debug through replay, simulation, residual-analysis and on-car testing
At a minimum we'd like you to have:
PhD or M.S. degree with equivalent experience in fields such as estimation, optimization, statistics, modeling, dynamics, control, etc.
5+ years of C++ programming experience
It's preferred if you have:
Domain knowledge and implementation experience with Kalman filtering, inertial sensors, and sensor fusion. Real world experience with system integration and deployment
Experience with real-time robot/vehicle/drone positioning and localization
System dynamics and kinematics modeling for ground vehicles
Job Type: Full-time Salary: From AED4,000.00 per month Ability to commute/relocate:
Dubai: Reliably commute or planning to relocate before starting work (Required)
Education:
Bachelor's (Preferred)
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