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Vehicle Engineer

Company: Ford Motor Company
Location: Ann Arbor
Posted on: February 21, 2021

Job Description:

Autonomous Vehicle Engineer - Embedded PerceptionFord Motor Company is committed to expanding our core business from auto manufacturer to, the much broader, mobility solutions company. Autonomous Vehicles will play a major role in many of these upcoming mobility solutions. In fact, Autonomous Vehicles will play a key role in the future of Ford, in the future of transportation, and in the future of how people interact with their world.This future is being created today by Ford's AV LLC team. This fun, fast-moving, innovative group of highly skilled and motivated people is looking for candidates to support research and developmental efforts in producing fully-autonomous vehicles (SAE Level 4). The "Autonomous Vehicle Engineer - Embedded Perception" position entails developing, implementing, and testing object detection, tracking, and intent prediction algorithms for use in fully-autonomous vehicles in real-world scenarios that run in real-time on embedded devices. Using sensors such as LIDAR, RADAR, and cameras, these perception algorithms allow the autonomous vehicle to understand the nearby environment, allowing safe operation in simple-to-complex situations. These situational awareness algorithms include such diverse topics as: stoplight/brake-light detection, multi-sensor object detection/classification, multi-sensor fusion, and simultaneous tracking of multiple objects through complex scenes. Ideal candidates will have strong grasp of computer science fundamentals, solid background in at least two of the aforementioned sensors, a history of implementing detection/tracking algorithms, and experience with deploying perception solutions on embedded/edge devices.Job responsibilities:* Design, implement and test algorithms for environmental/situational awareness, including multi-sensor fusion, object detection, object classification, simultaneous tracking of multiple objects through complex scenes, and the prediction of the object future position (i.e. intent).* Support the calibration, testing, interface specification, and integration of a variety of sensor data (Camera, LIDAR, RADAR, Ultrasonic, GPS/IMU, etc.) into the perception algorithms for prototype-to-production system development.* System integration of data acquisition and data processing for a variety of sensors including camera, LIDAR, RADAR, ultrasonics, etc.* Develop, implement and utilize specific metrics to quantify the performance of detection, classification, and tracking algorithms.* Design and execution of experiments, data collections, data analysis, and performance evaluation from both simulation and with real vehicle data.* Deep neural networks optimization to migrate prototype algorithms to embedded systems utilizing neural network quantization, compression, pruning, knowledge distillation.* Utilizing hardware-in-the-loop, software simulation, and in-vehicle experimentation for algorithm testing and software validation* Presentation of designs, challenges, implementation details, and results during periodic reviews and technical interchange meetingsBasic Qualifications:* Minimum of a Bachelors in Electrical Engineering, Signal Processing, Computer Science, or similar field--or,--10 years equivalent work experience.* 3+ years experience with algorithm development and implementation in at least two of the following areas: image processing, remote sensing, object detection/classification, multi-sensor fusion, intent prediction, model-based estimation techniques and/or target tracking.* 3+ years experience developing high-quality C/C++ code of object detection and tracking algorithms, multi-threaded applications, and data visualization.Preferred Qualifications:* Experience with porting neural networks to NVIDIA Jetson TX/Nano/AGX or FPGA devices and INT8 quantization and network calibration.* Experience with implementing deep neural networks within one of the open source frameworks such as PyTorch, TensorFlow.* Experience with TensorRT and ONNX and ability to implement new layers in TensorRT.* Experience working in a team-based project from inception to demonstration across multiple disciplines, e.g., hardware design and implementation, data acquisition and analysis, mathematical modeling, algorithm development, application implementation, etc.* Experience with multiple sensor systems such as LIDAR, RADAR, cameras, etc.* Experience with probabilistic state estimation, Bayesian inference, Kalman filtering, linear algebra, vector analysis, and non-linear optimization techniques* Strong foundation in linear algebra, vector analysis, and probability/statistics* Working knowledge of an inter-process communication method (such as ROS, LCM, ZeroMQ, etc)* Proficiency in multiple operating systems such as Windows, UNIX, Linux, etc.* Experience developing custom software within a large codebase, including proficiency with software version control systems (e.g., git or svn), code reviews, and style guidelines* Experience with Linux development operations using tools such as: gcc, ld, ar, make, bash, gdb, and valgrind* Experience with system requirements, testing, validation, and Agile software development* Experience with CAN, UDP, TCP and network routing systems* Demonstrated ability to generate scientific reports and presentations* be self-motivated with the ability to manage multiple tasksJoin our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we're Built Ford Tough. We're one team striving to make people's lives better while creating value, delivering excellence and ultimately going for the win.Visa sponsorship may be available for this position. Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Keywords: Ford Motor Company, Ann Arbor , Vehicle Engineer, Engineering , Ann Arbor, Michigan

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