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