About the job
We are now looking for a Senior Software Autonomous Vehicle Control Integration Engineer. As a Senior Software Control Integration Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, and vehicle control.
Responsibilities
Contribute to the development related to vehicle dynamics and control and support other teams in such areas, e.g. ACC/LK, urban driving, trajectory planning, vehicle operation limit estimation, emergency maneuvers (collision avoidance, mitigation), etc.\\nDesign technologies needed to build Autonomous Vehicle software stack, write new software modules from scratch that drive our vehicles.\\nProvide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc.\\nBuild new performance offline and online benchmarks for vehicle control.\\nDefine and build tools to tune our vehicle dynamics control and manage calibration updates for various vehicle types.\\nDrive integration efforts of control functionality across different platforms, support troubleshooting of control and actuation issues in vehicles.\\nDevelop and maintain vehicle test suites to detect control integration problems, develop and maintain automated tests to ensure SW quality and prevent regressions.\\nMost importantly, work on groundbreaking and innovative technology, tackle difficult problems, and help build a world-class system!
Qualifications
Minimum
BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience\\n8+ years of work experience in relevant fields\\nKnowledge and hands-on application background in control theories, including at least three of the following fields: classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control.\\nUnderstanding of state estimation techniques such as Luenberger observer, kalman filter, etc.\\nAbility to develop vehicle models and perform parameter identification and benchmarking.\\nKnowledge of high-level algorithm design and prototyping in simulation environments (Matlab/Simulink/Python) to product oriented implementation with C/C++.\\nExperience in architectural design and software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems.\\nUnderstanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.\\nExperience of integrating, tuning, and validating prototype and/or production control software with application, driver, and vehicle network layers.\\nExperience of development and/or usage of in-vehicle control software verification and calibration tools for autonomous vehicle applications.
Preferred
Hands-on experience in autonomous vehicle or advanced driver assist system development such as lane keeping, adaptive cruise control, etc.\\nBackground in automotive safety concept, failure mode, common analysis tools such as FMEA\\nExperience in developing and launching vehicle safety critical control system products such as powertrain, steering system, brake system, advanced driver assist system, etc.\\nUnderstanding of deep learning and neural network concepts\\n12+ years engineering experience at automotive OEM, tier-1 supplier or autonomous driving start-ups\\nPhD with relevant experience