Automated Driving Research Intern – Sensors, Algorithms, and Software
Ford Motor Company
Job Description Job Title: Automated Driving Research Intern – Sensors, Algorithms, and Software
Ford Motor Company is moving into a new phase of its 100+ year history, one in which openness is at the heart of its future. The automobile is being redefined as a networked computing platform upon which an ever-evolving set of applications is being designed, allowing us to create exciting new consumer experiences.
We are a research lab within Ford that is investigating computing platforms, software & hardware architectures, sensors & strategies for fusing information from a variety of external & internal environmental sensors for next generation active safety and autonomous vehicle technologies.
Candidates for consideration will be responsible for supporting research and developmental efforts in automated vehicle technologies ranging from Advanced Driver Assistance Systems (ADAS) to semi- and fully-autonomous driving capabilities. The ideal candidates are exceptionally creative, motivated and talented engineers with strong interdisciplinary backgrounds in science & engineering with solid programming skills. We collaborate extensively within Ford and with external partners, thus we require exceptional communication and collaborative skills.
This 12-week internship position is located at Ford’s Research and Innovation Center in Palo Alto, CA.
Support development of novel mapping, localization, obstacle detecting & tracking algorithms
Evaluate and compare deep learning algorithms for specific applications and related tasks to improve performance, training, and suitability for embedded applications
Participate in technical discussions and in the creation of new ideas for automotive applications within the existing autonomous vehicle research team
Maintain close contact to the scientific and industrial community in high performance computer, machine learning and perform scouting and assessment of new approaches
Publish technical reports, papers and/or pursue Intellectual Property rights
Work closely and effectively with external partners – corporations, universities and automotive suppliers
Pursuing a Bachelor’s, Master’s Degree, PhD or Post-Doc in one of the following fields:
Electrical and/or Electronic Engineering
Computer Engineering or Computer Science
Aerospace, Biomedical, Chemical, and other Engineering disciplines in key areas
Robotics, Mathematics, Statistics, Natural Sciences, or related fields or Business (with engineering background)
3+ months of software development experience
Graduation date between December 2018 and December 2020
Demonstrated ability to carry out independent research and lead projects
Experience with computer vision, machine learning, DNNs, and Numerical Optimization
Experience with algorithms such as motion control, image processing, simultaneous localization and mapping, geospatial location, rendering 3D data, computer graphics, etc.
Knowledge of 3D co-ordinate frames and transformations, vector mathematics, matrix algebra, probabilistic inference and modeling, etc.
Experience with sensing systems such as cameras, radar, lidar, GPS, IMUs, etc.
Possess strong oral and written language skills
Present results for internal management and at external venues such as conferences
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
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.