About this role
Develop algorithms and systems using modern machine learning approaches, including reinforcement learning, for autonomous and semi-autonomous vehicles and transportation decision support (e.g., collision avoidance, contingency management, inter-vehicle coordination, surveillance and tracking). Lead applied R&D programs, develop deployable solutions and system architectures, and publish results in conferences or journals.
Skills for this role
Machine LearningReinforcement LearningAlgorithm DevelopmentAutonomous SystemsModeling and SimulationDecision Support SystemsCollision AvoidanceContingency ManagementInter-vehicle CoordinationSurveillanceTracking SystemsPythonC++MATLABJuliaNatural Language ProcessingNatural Language UnderstandingAutomatic Speech RecognitionDistributed ComputingScalable Machine Learning FrameworksReal-time Software ArchitectureSystems AnalysisSystem ArchitectureSupercomputing-enabled ModelingSystem IntegrationAlgorithmic Software DevelopmentPublication in Conferences/JournalsProposal WritingTeam LeadershipHardware Testing